# raw_posts

dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-13 18:49:00.000000
modified: 2024-11-13 18:53:00.000000
subject: Quasi Exam III
message:
Who is the best one (winner - see: https://miau.my-x.hu/miau/315/quasi_exam_II_collected.xlsx + https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=62982)?


raw_payload:
{"id": 163975, "discussion": 63050, "parent": 0, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-13T18:49:00", "modified": "2024-11-13T18:53:00", "mailed": 1, "subject": "Quasi Exam III", "message": "Who is the best one (winner - see:\u00a0https://miau.my-x.hu/miau/315/quasi_exam_II_collected.xlsx + https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=62982)?\r\n\r\n", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 11, "charcount": 146}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-13 18:52:00.000000
modified: 2024-11-13 18:52:00.000000
subject: Re: Quasi Exam III
message:
The best one should be derived first of all based on the written answers of the potential competitors and not only based on the arbitrary/subjective scores - even if the scores can lead to a total or average number (as acceptable, but totally naive derivation way). (estimated time: 30 minutes)

raw_payload:
{"id": 163976, "discussion": 63050, "parent": 163975, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-13T18:52:00", "modified": "2024-11-13T18:52:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "The best one should be derived first of all based on the written answers of the potential competitors and not only based on the arbitrary/subjective scores - even if the scores can lead to a total or average number (as acceptable, but totally naive derivation way). (estimated time: 30 minutes)", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 50, "charcount": 245}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-13 18:55:00.000000
modified: 2024-11-13 18:55:00.000000
subject: Re: Quasi Exam III
message:
The statements (answers, declarations, derivations, etc.) of the winner may be seen as totally error-free explanations? Please, never forget: we are searching for 2 simply numbers (1: ideal length, 2: count of the potential answers with this ideal length).

raw_payload:
{"id": 163977, "discussion": 63050, "parent": 163976, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-13T18:55:00", "modified": "2024-11-13T18:55:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "The statements (answers, declarations, derivations, etc.) of the winner may be seen as totally error-free explanations? Please, never forget: we are searching for 2 simply numbers (1: ideal length, 2: count of the potential answers with this ideal length).", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 39, "charcount": 218}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-13 18:58:00.000000
modified: 2024-11-13 18:58:00.000000
subject: Re: Quasi Exam III
message:
https://miau.my-x.hu/miau/315/quasi_exam_II_collected.xlsx <--this file does basically help to identify irrational scores especially in cases where NO real performances might be identified in the background...

raw_payload:
{"id": 163978, "discussion": 63050, "parent": 163977, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-13T18:58:00", "modified": "2024-11-13T18:58:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "https://miau.my-x.hu/miau/315/quasi_exam_II_collected.xlsx <--this file does basically help to identify irrational scores especially in cases where NO real performances might be identified in the background...", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 23, "charcount": 187}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-13 19:02:00.000000
modified: 2024-11-13 19:02:00.000000
subject: Re: Quasi Exam III
message:
Please, define each person, who might not have even the signature for this course - if the final evalution should be here and now! (estimated time: 15 minutes - please, do not forget, your official performance-evaluation is depending on the correctness of all your answers (c.f. it is not a field for diplomatic issues)...

raw_payload:
{"id": 163979, "discussion": 63050, "parent": 163978, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-13T19:02:00", "modified": "2024-11-13T19:02:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Please, define each person, who might not have even the signature for this course - if the final evalution should be here and now! (estimated time: 15 minutes - please, do not forget, your official performance-evaluation is depending on the correctness of all your answers (c.f. it is not a field for diplomatic issues)...", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 54, "charcount": 269}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-13 19:04:00.000000
modified: 2024-11-13 19:04:00.000000
subject: Re: Quasi Exam III
message:
Please, comment/criticizes (what is not totally correct) the performances of your single winner concerning each entry from the winner! (estimated time: 60 minutes)

raw_payload:
{"id": 163980, "discussion": 63050, "parent": 163977, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-13T19:04:00", "modified": "2024-11-13T19:04:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Please, comment/criticizes (what is not totally correct) the performances of your single winner concerning each entry from the winner! (estimated time: 60 minutes)", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 23, "charcount": 141}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-13 19:07:00.000000
modified: 2024-11-13 19:07:00.000000
subject: Re: Quasi Exam III
message:
The winner's name should be defined only here! Standardized answer = only the copied! name of the winners as reply for this entry! Official name-versions can you see in Moodle: e.g. entry "by ..." + date

raw_payload:
{"id": 163981, "discussion": 63050, "parent": 163980, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-13T19:07:00", "modified": "2024-11-13T19:07:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "The winner's name should be defined only here! Standardized answer = only the copied! name of the winners as reply for this entry! Official name-versions can you see in Moodle: e.g. entry \"by ...\" + date", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 36, "charcount": 168}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_7
created: 2024-11-13 20:29:00.000000
modified: 2024-11-13 20:29:00.000000
subject: Tárgy: Re: Quasi Exam III
message: Ganzorig Boldzukh. I think the ideal count is right however, ideal length might be correct with 9.
raw_payload:
{"id": 163983, "discussion": 63050, "parent": 163981, "userid": 46683, "userfullname": "student_7", "created": "2024-11-13T20:29:00", "modified": "2024-11-13T20:29:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "Ganzorig Boldzukh.\r\nI think the ideal count is right however, ideal length might be correct with 9.", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 17, "charcount": 82}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-14 10:15:00.000000
modified: 2024-11-14 10:15:00.000000
subject: Re: Tárgy: Re: Quasi Exam III
message: c.f. https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=62982
raw_payload:
{"id": 163989, "discussion": 63050, "parent": 163983, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-14T10:15:00", "modified": "2024-11-14T10:15:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Quasi Exam III", "message": "c.f. https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=62982", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 61}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_16
created: 2024-11-15 10:11:00.000000
modified: 2024-11-15 10:11:00.000000
subject: Re: Quasi Exam III
message:
Munkhjargal Ariunbold
I chose him based on these requirements
- Have consistently high-quality answers (indicated by high scores across all metrics).
- Exhibit clarity and precision in responses that likely align with the "ideal length" criteria.
- Show no major issues or contradictions in their performance evaluation.

Based on this, Munkhjargal Ariunbold is a strong candidate, assuming his performance is devoid of irrational or exaggerated scores.

raw_payload:
{"id": 164050, "discussion": 63050, "parent": 163981, "userid": 46672, "userfullname": "student_16", "created": "2024-11-15T10:11:00", "modified": "2024-11-15T10:11:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Munkhjargal Ariunbold\r\nI chose him based on these requirements\r\n- Have consistently high-quality answers (indicated by high scores across all metrics).\r\n- Exhibit clarity and precision in responses that likely align with the \"ideal length\" criteria.\r\n- Show no major issues or contradictions in their performance evaluation.\r\n\r\nBased on this, Munkhjargal Ariunbold is a strong candidate, assuming his performance is devoid of irrational or exaggerated scores.", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 66, "charcount": 387}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_20
created: 2024-11-15 14:28:00.000000
modified: 2024-11-15 14:36:00.000000
subject: Re: Quasi Exam III
message: Ariunbold Munkhjargal
raw_payload:
{"id": 164054, "discussion": 63050, "parent": 163981, "userid": 46675, "userfullname": "student_20", "created": "2024-11-15T14:28:00", "modified": "2024-11-15T14:36:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Ariunbold Munkhjargal", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 20}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_10
created: 2024-11-15 15:40:00.000000
modified: 2024-11-15 15:40:00.000000
subject: Tárgy: Re: Quasi Exam III
message: Ariunbold Munkhjargal
raw_payload:
{"id": 164056, "discussion": 63050, "parent": 163981, "userid": 46677, "userfullname": "student_10", "created": "2024-11-15T15:40:00", "modified": "2024-11-15T15:40:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "Ariunbold Munkhjargal", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 20}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_20
created: 2024-11-15 15:49:00.000000
modified: 2024-11-15 15:49:00.000000
subject: Re: Quasi Exam III
message:
1.https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=62967#p163586
https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=62967#p163589
--> Incorrect: The maximum number of ideal standardized answers is stated in the document, which includes six valid options for the thesis submission deadline: "2024 Nov, 2025 Apr, 2025 Nov, 2026 Apr, 2026 Nov, and other/later."

Why: Including the "other/later" option is irrelevant because it does not align with the principles of standardized communication or system usability. Answers must provide clear, valuable, and relevant information, and "other/later" does fulfill structural requirements but does not fulfill practical (database usability) requirements. (--> https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=62967#p164055)

raw_payload:
{"id": 164058, "discussion": 63050, "parent": 163980, "userid": 46675, "userfullname": "student_20", "created": "2024-11-15T15:49:00", "modified": "2024-11-15T15:49:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "1.https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=62967#p163586\r\nhttps://moodle.kodolanyi.hu/mod/forum/discuss.php?d=62967#p163589\r\n--> Incorrect: The maximum number of ideal standardized answers is stated in the document, which includes six valid options for the thesis submission deadline: \"2024 Nov, 2025 Apr, 2025 Nov, 2026 Apr, 2026 Nov, and other/later.\"\r\n\r\nWhy: Including the \"other/later\" option is irrelevant because it does not align with the principles of standardized communication or system usability. Answers must provide clear, valuable, and relevant information, and \"other/later\" does fulfill structural requirements but does not fulfill practical (database usability) requirements. (--> https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=62967#p164055)", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 83, "charcount": 688}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_15
created: 2024-11-15 16:04:00.000000
modified: 2024-11-15 16:04:00.000000
subject: Tárgy: Re: Quasi Exam III
message: Munkhjargal Ariunbold
raw_payload:
{"id": 164061, "discussion": 63050, "parent": 163981, "userid": 44444, "userfullname": "student_15", "created": "2024-11-15T16:04:00", "modified": "2024-11-15T16:04:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "Munkhjargal Ariunbold", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 20}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_20
created: 2024-11-15 16:10:00.000000
modified: 2024-11-15 16:10:00.000000
subject: Re: Quasi Exam III
message:
1.Belhadj Abderrahmane:BWJPX0 Last access to cource - 24 days 18 hours --> No post on the forum
2.Cabral de Noronha e Menezes Furtado António Maria:G4VH8T Last access to cource - 4 days 6 hours --> No post on the forum
4.Mortazavi Mahshid:E68IAT - No post on the forum
5.MD Shahriar Islam:D5MUMA Last access to cource - 10 days 8 hours--> No post on the forum
6.MD Adnan Hossain Alif:BJT86N Last access to cource - 1 day 22 hours --> No post on the forum

raw_payload:
{"id": 164062, "discussion": 63050, "parent": 163979, "userid": 46675, "userfullname": "student_20", "created": "2024-11-15T16:10:00", "modified": "2024-11-15T16:10:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "1.Belhadj Abderrahmane:BWJPX0 Last access to cource - 24 days 18 hours --> No post on the forum\r\n2.Cabral de Noronha e Menezes Furtado Ant\u00f3nio Maria:G4VH8T Last access to cource - 4 days 6 hours --> No post on the forum\r\n4.Mortazavi Mahshid:E68IAT - No post on the forum\r\n5.MD Shahriar Islam:D5MUMA Last access to cource - 10 days 8 hours--> No post on the forum\r\n6.MD Adnan Hossain Alif:BJT86N Last access to cource - 1 day 22 hours --> No post on the forum", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 84, "charcount": 371}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_4
created: 2024-11-15 16:53:00.000000
modified: 2024-11-15 16:53:00.000000
subject: Re: Quasi Exam III
message: Shagai Turtogtokh
raw_payload:
{"id": 164063, "discussion": 63050, "parent": 163981, "userid": 46671, "userfullname": "student_4", "created": "2024-11-15T16:53:00", "modified": "2024-11-15T16:53:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Shagai Turtogtokh", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 16}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_4
created: 2024-11-15 17:37:00.000000
modified: 2024-11-15 17:37:00.000000
subject: Re: Quasi Exam III
message:
There are areas for improvement:

	* Addressing alternative interpretations of the options
	* Expanding on the implications and challenges posed by the "other/later" option.
	* Considering the importance of timely submission in the evaluation process.
	* These refinements would make the responses even stronger and more aligned with the teachers expectations.


raw_payload:
{"id": 164064, "discussion": 63050, "parent": 163980, "userid": 46671, "userfullname": "student_4", "created": "2024-11-15T17:37:00", "modified": "2024-11-15T17:37:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "There are areas for improvement:\r\n\r\n\t* Addressing alternative interpretations of the options\r\n\t* Expanding on the implications and challenges posed by the \"other/later\" option.\r\n\t* Considering the importance of timely submission in the evaluation process.\r\n\t* These refinements would make the responses even stronger and more aligned with the teacher\u0092s expectations.\r\n\r\n", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 47, "charcount": 302}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_4
created: 2024-11-15 17:52:00.000000
modified: 2024-11-15 17:52:00.000000
subject: Re: Quasi Exam III
message:
Belhadj Abderrahmane:BWJPX0
Cabral de Noronha e Menezes Furtado António Maria:G4VH8T
Dangiwa Japheth Jerry:GIGNRA
MD Adnan Hossain Alif:BJT86N
MD Shahriar Islam:D5MUMA
Mortazavi Mahshid:E68IAT
Rajesh Aadi:SKANN0
Based on their entries they didn't write any entries also some of them is incorrect.

raw_payload:
{"id": 164066, "discussion": 63050, "parent": 163979, "userid": 46671, "userfullname": "student_4", "created": "2024-11-15T17:52:00", "modified": "2024-11-15T17:52:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Belhadj Abderrahmane:BWJPX0\r\nCabral de Noronha e Menezes Furtado Ant\u00f3nio Maria:G4VH8T\r\nDangiwa Japheth Jerry:GIGNRA\r\nMD Adnan Hossain Alif:BJT86N\r\nMD Shahriar Islam:D5MUMA\r\nMortazavi Mahshid:E68IAT\r\nRajesh Aadi:SKANN0\r\nBased on their entries they didn't write any entries also some of them is incorrect.", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 39, "charcount": 258}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_6
created: 2024-11-15 18:19:00.000000
modified: 2024-11-15 18:19:00.000000
subject: Tárgy: Re: Quasi Exam III
message:
1.Belhadj Abderrahmane: BWJPX0
2.Cabral de Noronha e Menezes Furtado António Maria: G4VH8T
4.Mortazavi Mahshid: E68IAT
5.MD Shahriar Islam: D5MUMA

raw_payload:
{"id": 164067, "discussion": 63050, "parent": 163979, "userid": 47139, "userfullname": "student_6", "created": "2024-11-15T18:19:00", "modified": "2024-11-15T18:19:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "1.Belhadj Abderrahmane: BWJPX0\r\n2.Cabral de Noronha e Menezes Furtado Ant\u00f3nio Maria: G4VH8T\r\n4.Mortazavi Mahshid: E68IAT\r\n5.MD Shahriar Islam: D5MUMA", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 19, "charcount": 128}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_12
created: 2024-11-15 18:19:00.000000
modified: 2024-11-15 18:19:00.000000
subject: Re: Quasi Exam III
message: Ariunbold Munkhjargal
raw_payload:
{"id": 164068, "discussion": 63050, "parent": 163981, "userid": 48825, "userfullname": "student_12", "created": "2024-11-15T18:19:00", "modified": "2024-11-15T18:19:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Ariunbold Munkhjargal", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 20}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_6
created: 2024-11-15 18:29:00.000000
modified: 2024-11-15 18:29:00.000000
subject: Tárgy: Re: Quasi Exam III
message: Munkhjargal Ariunbold
raw_payload:
{"id": 164069, "discussion": 63050, "parent": 163981, "userid": 47139, "userfullname": "student_6", "created": "2024-11-15T18:29:00", "modified": "2024-11-15T18:29:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "Munkhjargal Ariunbold", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 20}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_9
created: 2024-11-15 18:32:00.000000
modified: 2024-11-15 18:32:00.000000
subject: Re: Quasi Exam III
message: Ariunbold Munkhjargal
raw_payload:
{"id": 164070, "discussion": 63050, "parent": 163981, "userid": 46667, "userfullname": "student_9", "created": "2024-11-15T18:32:00", "modified": "2024-11-15T18:32:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Ariunbold Munkhjargal", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 20}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_7
created: 2024-11-15 18:36:00.000000
modified: 2024-11-15 18:36:00.000000
subject: Tárgy: Re: Quasi Exam III
message:
Belhadj Abderrahmane:BWJPX0
Cabral de Noronha e Menezes Furtado António Maria:G4VH8T
Dangiwa Japheth Jerry:GIGNRA
MD Adnan Hossain Alif:BJT86N
MD Shahriar Islam:D5MUMA
Mortazavi Mahshid:E68IAT
Rajesh Aadi:SKANN0
They either has not submitted a response, nor submitted within the deadline.

raw_payload:
{"id": 164071, "discussion": 63050, "parent": 163979, "userid": 46683, "userfullname": "student_7", "created": "2024-11-15T18:36:00", "modified": "2024-11-15T18:36:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "Belhadj Abderrahmane:BWJPX0\r\nCabral de Noronha e Menezes Furtado Ant\u00f3nio Maria:G4VH8T\r\nDangiwa Japheth Jerry:GIGNRA\r\nMD Adnan Hossain Alif:BJT86N\r\nMD Shahriar Islam:D5MUMA\r\nMortazavi Mahshid:E68IAT\r\nRajesh Aadi:SKANN0\r\nThey either has not submitted a response, nor submitted within the deadline.", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 36, "charcount": 253}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_18
created: 2024-11-15 22:54:00.000000
modified: 2024-11-15 22:54:00.000000
subject: Re: Quasi Exam III
message: Ariunbold Munkhjargal
raw_payload:
{"id": 164082, "discussion": 63050, "parent": 163981, "userid": 46673, "userfullname": "student_18", "created": "2024-11-15T22:54:00", "modified": "2024-11-15T22:54:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Ariunbold Munkhjargal", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 20}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_18
created: 2024-11-15 23:00:00.000000
modified: 2024-11-15 23:00:00.000000
subject: Re: Quasi Exam III
message:
Belhadj Abderrahmane:BWJPX0
Cabral de Noronha e Menezes Furtado António Maria:G4VH8T
MD Adnan Hossain Alif:BJT86N
MD Shahriar Islam:D5MUMA
Mortazavi Mahshid:E68IAT

raw_payload:
{"id": 164083, "discussion": 63050, "parent": 163979, "userid": 46673, "userfullname": "student_18", "created": "2024-11-15T23:00:00", "modified": "2024-11-15T23:00:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Belhadj Abderrahmane:BWJPX0\r\nCabral de Noronha e Menezes Furtado Ant\u00f3nio Maria:G4VH8T\r\nMD Adnan Hossain Alif:BJT86N\r\nMD Shahriar Islam:D5MUMA\r\nMortazavi Mahshid:E68IAT", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 19, "charcount": 145}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_19
created: 2024-11-15 23:04:00.000000
modified: 2024-11-15 23:04:00.000000
subject: Tárgy: Re: Quasi Exam III
message:
Rajesh Aadi:SKANN0
MD Adnan Hossain Alif:BJT86N
Belhadj Abderrahmane:BWJPX0
Cabral de Noronha e Menezes Furtado António Maria:G4VH8T
MD Shahriar Islam:D5MUMA
Mortazavi Mahshid:E68IAT

raw_payload:
{"id": 164084, "discussion": 63050, "parent": 163979, "userid": 46678, "userfullname": "student_19", "created": "2024-11-15T23:04:00", "modified": "2024-11-15T23:04:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "Rajesh Aadi:SKANN0\r\nMD Adnan Hossain Alif:BJT86N\r\nBelhadj Abderrahmane:BWJPX0\r\nCabral de Noronha e Menezes Furtado Ant\u00f3nio Maria:G4VH8T\r\nMD Shahriar Islam:D5MUMA\r\nMortazavi Mahshid:E68IAT", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 21, "charcount": 162}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_19
created: 2024-11-15 23:07:00.000000
modified: 2024-11-15 23:07:00.000000
subject: Tárgy: Re: Quasi Exam III
message: Munkhjargal Ariunbold
raw_payload:
{"id": 164085, "discussion": 63050, "parent": 163981, "userid": 46678, "userfullname": "student_19", "created": "2024-11-15T23:07:00", "modified": "2024-11-15T23:07:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "Munkhjargal Ariunbold", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 20}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_8
created: 2024-11-15 23:22:00.000000
modified: 2024-11-15 23:22:00.000000
subject: Re: Quasi Exam III
message: Ariunbold Munkhjargal
raw_payload:
{"id": 164086, "discussion": 63050, "parent": 163981, "userid": 46674, "userfullname": "student_8", "created": "2024-11-15T23:22:00", "modified": "2024-11-15T23:22:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Ariunbold Munkhjargal", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 20}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_8
created: 2024-11-15 23:23:00.000000
modified: 2024-11-15 23:23:00.000000
subject: Re: Quasi Exam III
message:
MD Shahriar Islam:D5MUMA
Mortazavi Mahshid:E68IAT
Rajesh Aadi:SKANN0
MD Adnan Hossain Alif:BJT86N
Belhadj Abderrahmane:BWJPX0
Cabral de Noronha e Menezes Furtado António Maria:G4VH8T

raw_payload:
{"id": 164087, "discussion": 63050, "parent": 163979, "userid": 46674, "userfullname": "student_8", "created": "2024-11-15T23:23:00", "modified": "2024-11-15T23:23:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "MD Shahriar Islam:D5MUMA\r\nMortazavi Mahshid:E68IAT\r\nRajesh Aadi:SKANN0\r\nMD Adnan Hossain Alif:BJT86N\r\nBelhadj Abderrahmane:BWJPX0\r\nCabral de Noronha e Menezes Furtado Ant\u00f3nio Maria:G4VH8T", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 21, "charcount": 162}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_22
created: 2024-11-15 23:29:00.000000
modified: 2024-11-15 23:29:00.000000
subject: Tárgy: Re: Quasi Exam III
message: Byekbolat Nurbol
raw_payload:
{"id": 164088, "discussion": 63050, "parent": 163981, "userid": 46680, "userfullname": "student_22", "created": "2024-11-15T23:29:00", "modified": "2024-11-15T23:29:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "Byekbolat Nurbol", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 15}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_22
created: 2024-11-15 23:33:00.000000
modified: 2024-11-15 23:40:00.000000
subject: Tárgy: Re: Quasi Exam III
message:
The evaluation process for determining the winner of the task required careful analysis of the submissions. The ideal length of the correct answer was identified as 37 characters. This conclusion was based on the standardized format of the response, which consists of a fixed part, "thesis submission deadline =", and a constant part listing specific dates: "2024 Nov, 2025 Apr, 2025 Nov, 2026 Apr, 2026 Nov." Together, these components total 37 characters, including spaces. 

The count of potential answers with this ideal length was determined to be 5, as the instructions explicitly offered five thesis submission deadlines for students to choose from. 

The selection of the winner was complicated due to the timing and accuracy of the responses. Byekbolat Nurbol was the only participant to submit a fully correct answer; however, his submission was received late, at 01:28 on November 4. By that time, the correct answers had already been established. Earlier submissions by other participants demonstrated partial accuracy. For instance, Turtogtokh Shagai correctly identified the ideal answer length of 37 at 19:06, while Nyambaatar Zandangarav identified the number of potential answers as five at 15:15. However, neither Tuttogtokh Shagai nor Nyambaatar Zandangarav successfully addressed both components of the question.

Despite Nurbol's delayed submission, his response played a critical role in clarifying the exact answers. Until his input, the precise resolution of the question remained uncertain. As a result, Byekbolat Nurbol was selected as the winner.

raw_payload:
{"id": 164089, "discussion": 63050, "parent": 163976, "userid": 46680, "userfullname": "student_22", "created": "2024-11-15T23:33:00", "modified": "2024-11-15T23:40:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "The evaluation process for determining the winner of the task required careful analysis of the submissions. The ideal length of the correct answer was identified as 37 characters. This conclusion was based on the standardized format of the response, which consists of a fixed part, \"thesis submission deadline =\", and a constant part listing specific dates: \"2024 Nov, 2025 Apr, 2025 Nov, 2026 Apr, 2026 Nov.\" Together, these components total 37 characters, including spaces.\u00a0\r\n\r\nThe count of potential answers with this ideal length was determined to be 5, as the instructions explicitly offered five thesis submission deadlines for students to choose from.\u00a0\r\n\r\nThe selection of the winner was complicated due to the timing and accuracy of the responses. Byekbolat Nurbol was the only participant to submit a fully correct answer; however, his submission was received late, at 01:28 on November 4. By that time, the correct answers had already been established. Earlier submissions by other participants demonstrated partial accuracy. For instance, Turtogtokh Shagai correctly identified the ideal answer length of 37 at 19:06, while Nyambaatar Zandangarav identified the number of potential answers as five at 15:15. However, neither Tuttogtokh Shagai nor Nyambaatar Zandangarav successfully addressed both components of the question.\r\n\r\nDespite Nurbol's delayed submission, his response played a critical role in clarifying the exact answers. Until his input, the precise resolution of the question remained uncertain. As a result, Byekbolat Nurbol was selected as the winner.", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 236, "charcount": 1335}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_22
created: 2024-11-15 23:35:00.000000
modified: 2024-11-15 23:35:00.000000
subject: Tárgy: Re: Quasi Exam III
message: 1) ideal length is 37. 2) count of the potential answers with this ideal length is 5.
raw_payload:
{"id": 164090, "discussion": 63050, "parent": 163977, "userid": 46680, "userfullname": "student_22", "created": "2024-11-15T23:35:00", "modified": "2024-11-15T23:35:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "1) ideal length is 37.\r\n2) count of the potential answers with this ideal length is 5.", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 17, "charcount": 69}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_10
created: 2024-11-15 23:35:00.000000
modified: 2024-11-15 23:35:00.000000
subject: Tárgy: Re: Quasi Exam III
message:
Rajesh Aadi:SKANN0
MD Adnan Hossain Alif:BJT86N
Belhadj Abderrahmane:BWJPX0
Cabral de Noronha e Menezes Furtado António Maria:G4VH8T
MD Shahriar Islam:D5MUMA
Mortazavi Mahshid:E68IAT

raw_payload:
{"id": 164091, "discussion": 63050, "parent": 163979, "userid": 46677, "userfullname": "student_10", "created": "2024-11-15T23:35:00", "modified": "2024-11-15T23:35:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "Rajesh Aadi:SKANN0\r\nMD Adnan Hossain Alif:BJT86N\r\nBelhadj Abderrahmane:BWJPX0\r\nCabral de Noronha e Menezes Furtado Ant\u00f3nio Maria:G4VH8T\r\nMD Shahriar Islam:D5MUMA\r\nMortazavi Mahshid:E68IAT", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 21, "charcount": 162}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_2
created: 2024-11-15 23:39:00.000000
modified: 2024-11-15 23:39:00.000000
subject: Re: Quasi Exam III
message:
1.Belhadj Abderrahmane:BWJPX0
2.Cabral de Noronha e Menezes Furtado António Maria:G4VH8T
3.MD Adnan Hossain Alif:BJT86N
4.MD Shahriar Islam:D5MUMA
5.Mortazavi Mahshid:E68IAT

raw_payload:
{"id": 164092, "discussion": 63050, "parent": 163979, "userid": 46681, "userfullname": "student_2", "created": "2024-11-15T23:39:00", "modified": "2024-11-15T23:39:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "1.Belhadj Abderrahmane:BWJPX0\r\n2.Cabral de Noronha e Menezes Furtado Ant\u00f3nio Maria:G4VH8T\r\n3.MD Adnan Hossain Alif:BJT86N\r\n4.MD Shahriar Islam:D5MUMA\r\n5.Mortazavi Mahshid:E68IAT", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 19, "charcount": 155}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_2
created: 2024-11-15 23:39:00.000000
modified: 2024-11-15 23:39:00.000000
subject: Re: Quasi Exam III
message: 1.Ariunbold Munkhjargal
raw_payload:
{"id": 164093, "discussion": 63050, "parent": 163981, "userid": 46681, "userfullname": "student_2", "created": "2024-11-15T23:39:00", "modified": "2024-11-15T23:39:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "1.Ariunbold Munkhjargal", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 22}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_21
created: 2024-11-15 23:41:00.000000
modified: 2024-11-15 23:41:00.000000
subject: Tárgy: Re: Quasi Exam III
message: Turtogtokh Shagai
raw_payload:
{"id": 164094, "discussion": 63050, "parent": 163981, "userid": 46682, "userfullname": "student_21", "created": "2024-11-15T23:41:00", "modified": "2024-11-15T23:41:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "Turtogtokh Shagai", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 16}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_21
created: 2024-11-15 23:45:00.000000
modified: 2024-11-15 23:45:00.000000
subject: Tárgy: Re: Quasi Exam III
message:
Belhadj Abderrahmane:BWJPX0 - No post on the forum
Cabral de Noronha e Menezes Furtado António Maria:G4VH8T - No post on the forum
Mortazavi Mahshid:E68IAT - No post on the forum
MD Shahriar Islam:D5MUMA - No post on the forum
MD Adnan Hossain Alif:BJT86N - No post on the forum

raw_payload:
{"id": 164095, "discussion": 63050, "parent": 163979, "userid": 46682, "userfullname": "student_21", "created": "2024-11-15T23:45:00", "modified": "2024-11-15T23:45:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "Belhadj Abderrahmane:BWJPX0 - No post on the forum\r\nCabral de Noronha e Menezes Furtado Ant\u00f3nio Maria:G4VH8T - No post on the forum\r\nMortazavi Mahshid:E68IAT - No post on the forum\r\nMD Shahriar Islam:D5MUMA - No post on the forum\r\nMD Adnan Hossain Alif:BJT86N - No post on the forum", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 49, "charcount": 230}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 07:59:00.000000
modified: 2024-11-16 07:59:00.000000
subject: Re: Quasi Exam III
message: It is finally to see, that reportable log-data can and should have consequences!
raw_payload:
{"id": 164100, "discussion": 63050, "parent": 164062, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T07:59:00", "modified": "2024-11-16T07:59:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "It is finally to see, that reportable log-data can and should have consequences!", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 13, "charcount": 68}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 07:59:00.000000
modified: 2024-11-16 07:59:00.000000
subject: Re: Quasi Exam III
message: It is finally to see, that reportable log-data can and should have consequences!
raw_payload:
{"id": 164101, "discussion": 63050, "parent": 164066, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T07:59:00", "modified": "2024-11-16T07:59:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "It is finally to see, that reportable log-data can and should have consequences!", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 13, "charcount": 68}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 08:00:00.000000
modified: 2024-11-16 08:00:00.000000
subject: Re: Tárgy: Re: Quasi Exam III
message: Person-oriented evaluations: Without evidences?
raw_payload:
{"id": 164102, "discussion": 63050, "parent": 164067, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T08:00:00", "modified": "2024-11-16T08:00:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Quasi Exam III", "message": "Person-oriented evaluations: Without evidences?", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 4, "charcount": 44}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 08:04:00.000000
modified: 2024-11-16 08:04:00.000000
subject: Re: Tárgy: Re: Quasi Exam III
message:
Not only the counts of the entries, but their timestamps (as log-data) can be involved into a robust evaluation, where frist of al we do not need complex evaluation models (see antidiscriminative techniques), but we do need very simplex IF/THENs for deriving attributes (goodness layers with directions for a later antidiscrimination process): e.g. IF a person could not deliver a needed entry within the deadline, than this fact should be evaluated as a negative force field compared to the fact, somebody way capable of following the predefined time-schedules.

raw_payload:
{"id": 164103, "discussion": 63050, "parent": 164071, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T08:04:00", "modified": "2024-11-16T08:04:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Quasi Exam III", "message": "Not only the counts of the entries, but their timestamps (as log-data) can be involved into a robust evaluation, where frist of al we do not need complex evaluation models (see antidiscriminative techniques), but we do need very simplex IF/THENs for deriving attributes (goodness layers with directions for a later antidiscrimination process): e.g. IF a person could not deliver a needed entry within the deadline, than this fact should be evaluated as a negative force field compared to the fact, somebody way capable of following the predefined time-schedules.", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 88, "charcount": 475}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 08:04:00.000000
modified: 2024-11-16 08:04:00.000000
subject: Re: Quasi Exam III
message: Argumentations?
raw_payload:
{"id": 164104, "discussion": 63050, "parent": 164083, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T08:04:00", "modified": "2024-11-16T08:04:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Argumentations?", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 1, "charcount": 15}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 08:05:00.000000
modified: 2024-11-16 08:05:00.000000
subject: Re: Tárgy: Re: Quasi Exam III
message: Argumentations?
raw_payload:
{"id": 164105, "discussion": 63050, "parent": 164091, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T08:05:00", "modified": "2024-11-16T08:05:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Quasi Exam III", "message": "Argumentations?", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 1, "charcount": 15}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 08:09:00.000000
modified: 2024-11-16 08:09:00.000000
subject: Re: Tárgy: Re: Quasi Exam III
message:
LOG-based argumentations are given! It would be more matured if Moodle-URLs were defined where the evidences could be found: e.g. https://moodle.kodolanyi.hu/report/view.php?courseid=17814 (<--log-based reports - for certain access rigths - c.f. Is it a GDPR-compatible covering effect and/or a not necessary diplomatic approach, if not all participants in this Moodle-course can see all reports/log-data?!)

raw_payload:
{"id": 164106, "discussion": 63050, "parent": 164095, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T08:09:00", "modified": "2024-11-16T08:09:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Quasi Exam III", "message": "LOG-based argumentations are given! It would be more matured if Moodle-URLs were defined where the evidences could be found: e.g. https://moodle.kodolanyi.hu/report/view.php?courseid=17814 (<--log-based reports - for certain access rigths - c.f. Is it a GDPR-compatible covering effect and/or a not necessary diplomatic approach, if not all participants in this Moodle-course can see all reports/log-data?!)", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 53, "charcount": 355}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 08:11:00.000000
modified: 2024-11-16 08:11:00.000000
subject: Re: Tárgy: Re: Quasi Exam III
message:
Typical example for fake-like evaluation attributes: there is no closed group-concerns about the correct answers! (e..g. 9<>37)

raw_payload:
{"id": 164107, "discussion": 63050, "parent": 163983, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T08:11:00", "modified": "2024-11-16T08:11:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Quasi Exam III", "message": "Typical example for fake-like evaluation attributes: there is no closed group-concerns about the correct answers! (e..g. 9<>37)", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 17, "charcount": 111}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 08:14:00.000000
modified: 2024-11-16 08:14:00.000000
subject: Re: Quasi Exam III
message:
How should we measure (based on log-data and/or other objective aspects): consistence and/or high-quality and/or clarity and/or precision and/or major-level concerning issues (c.f. binary logic: correct vs. incorrect - never forget: a nuclear power system does also need source codes where NO error is acceptable)...

raw_payload:
{"id": 164108, "discussion": 63050, "parent": 164050, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T08:14:00", "modified": "2024-11-16T08:14:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "How should we measure (based on log-data and/or other objective aspects): consistence and/or high-quality and/or clarity and/or precision and/or major-level concerning issues (c.f. binary logic: correct vs. incorrect - never forget: a nuclear power system does also need source codes where NO error is acceptable)...", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 45, "charcount": 272}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 08:15:00.000000
modified: 2024-11-16 08:15:00.000000
subject: Re: Quasi Exam III
message: Diplomatic entry?
raw_payload:
{"id": 164109, "discussion": 63050, "parent": 164054, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T08:15:00", "modified": "2024-11-16T08:15:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Diplomatic entry?", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 16}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 08:20:00.000000
modified: 2024-11-16 08:20:00.000000
subject: Re: Quasi Exam III
message:
Diplomatic entry? BUT a binary decision making process does definitely not need diplomatic steps! Mathematics does only need derivations of argumentation chains, and measurment possibilities for scaling Goodness of argumentation chains. Each other aspect is irrelevant first of all. IF the professional thruths are given, than and only than can we talk about other aspects. There is therefore pre-conditions, and we always need decision about the deeper levels before we might to go on to higher levelled questions.

raw_payload:
{"id": 164110, "discussion": 63050, "parent": 164063, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T08:20:00", "modified": "2024-11-16T08:20:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Diplomatic entry? BUT a binary decision making process does definitely not need diplomatic steps! Mathematics does only need derivations of argumentation chains, and measurment possibilities for scaling Goodness of argumentation chains. Each other aspect is irrelevant first of all. IF the professional thruths are given, than and only than can we talk about other aspects. There is therefore pre-conditions, and we always need decision about the deeper levels before we might to go on to higher levelled questions.", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 78, "charcount": 438}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 08:21:00.000000
modified: 2024-11-16 08:21:00.000000
subject: Re: Quasi Exam III
message: :-)
raw_payload:
{"id": 164112, "discussion": 63050, "parent": 164058, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T08:21:00", "modified": "2024-11-16T08:21:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": ":-)", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 1, "charcount": 3}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 08:24:00.000000
modified: 2024-11-16 08:24:00.000000
subject: Re: Quasi Exam III
message:
Alternative interpretations are useful as learning material/scenarios! The operative expectation in case of answer-definition does not need any forks. It is very important to see: that the fact-oriented communication and evaluation seems to be involved into this Moodle-course - finally...

raw_payload:
{"id": 164113, "discussion": 63050, "parent": 164064, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T08:24:00", "modified": "2024-11-16T08:24:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Alternative interpretations are useful as learning material/scenarios! The operative expectation in case of answer-definition does not need any forks. It is very important to see: that the fact-oriented communication and evaluation seems to be involved into this Moodle-course - finally...", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 40, "charcount": 250}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 09:47:00.000000
modified: 2024-11-16 09:47:00.000000
subject: Re: Tárgy: Re: Quasi Exam III
message:
Please, each Student should complete about each Student (object) an own OAM (number of rows = 24, number of columns = arbitrary, where a column is an attribute being capable of measuring a relevant aspect of the performance as such (e.g. time difference between task-definition-timpstamp and first-answer-timestamp, etc.) Deadline = 2024.XI.24. -24:00 (estimated time: 120 minutes). These OAMs will be compared to each other in order to see: what kind of attributes were used at all and in case of the same attributes, whether the values in the cells for each person are the same (c.f. fact? log-data?) in case of each evaluator?

raw_payload:
{"id": 164114, "discussion": 63050, "parent": 164089, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T09:47:00", "modified": "2024-11-16T09:47:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Quasi Exam III", "message": "Please, each Student should complete about each Student (object) an own OAM (number of rows = 24, number of columns = arbitrary, where a column is an attribute being capable of measuring a relevant aspect of the performance as such (e.g. time difference between task-definition-timpstamp and first-answer-timestamp, etc.) Deadline = 2024.XI.24. -24:00 (estimated time: 120 minutes). These OAMs will be compared to each other in order to see: what kind of attributes were used at all and in case of the same attributes, whether the values in the cells for each person are the same (c.f. fact? log-data?) in case of each evaluator?", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 103, "charcount": 527}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 09:50:00.000000
modified: 2024-11-16 09:50:00.000000
subject: Re: Tárgy: Re: Quasi Exam III
message:
Parallel way: if the potential evaluators are capable to cooperate, then the result is ONE single OAM, but in this case, the values in each cell should be accepted by each evaluators in advance!

raw_payload:
{"id": 164115, "discussion": 63050, "parent": 164114, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T09:50:00", "modified": "2024-11-16T09:50:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Quasi Exam III", "message": "Parallel way: if the potential evaluators are capable to cooperate, then the result is ONE single OAM, but in this case, the values in each cell should be accepted by each evaluators in advance!", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 34, "charcount": 161}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 09:51:00.000000
modified: 2024-11-16 09:51:00.000000
subject: Re: Tárgy: Re: Quasi Exam III
message:
It is necessary to define a direction for each attribute! Potential directions: the more the better (0) or the less the better (1)

raw_payload:
{"id": 164116, "discussion": 63050, "parent": 164115, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T09:51:00", "modified": "2024-11-16T09:51:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Quasi Exam III", "message": "It is necessary to define a direction for each attribute! Potential directions: the more the better (0) or the less the better (1)", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 23, "charcount": 108}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 10:04:00.000000
modified: 2024-11-16 10:04:00.000000
subject: Re: Tárgy: Re: Quasi Exam III
message:
Please, try to interpret the following file (especially the sheet being prepared for seeing immediately): https://miau.my-x.hu/miau/315/quasi_exam_II_collected.xlsx Please, formulate questions here and now, if/why you could not accept this file as a pseudocode/system plan needing to be transformed into source code by you in person immediately! Deadline = 2024.XI.24. -24:00 (estimated time: 120 minutes).

raw_payload:
{"id": 164117, "discussion": 63050, "parent": 164116, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T10:04:00", "modified": "2024-11-16T10:04:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Quasi Exam III", "message": "Please, try to interpret the following file (especially the sheet being prepared for seeing immediately): https://miau.my-x.hu/miau/315/quasi_exam_II_collected.xlsx Please, formulate questions here and now, if/why you could not accept this file as a pseudocode/system plan needing to be transformed into source code by you in person immediately! Deadline = 2024.XI.24. -24:00 (estimated time: 120 minutes).", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 53, "charcount": 354}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_16
created: 2024-11-16 18:50:00.000000
modified: 2024-11-16 18:50:00.000000
subject: Re: Quasi Exam III
message:
To measure consistency, quality, clarity, precision, and major-level issues objectively, I propose the following metrics:

Consistency: Measure the range of scores given to and received by the student. For example, Munkhjargal Ariunbold consistently scores between 7 and 9 across all evaluations, achieving 90% consistency.

High-Quality: Based on the log-data, we calculate the percentage of correct answers out of total answers. For example, if 9 out of 10 answers are correct, the high-quality score is 90%.

Clarity: Munkhjargals answer was 6, also he informed why does he choose it. So the clarity is good. So high quality score is exactly 85% or more above.

Precision: Precision is calculated by comparing the number of relevant points in an answer to the total points made. For instance, if Munkhjargal includes 18 relevant points out of 20, the precision score is 90%.

Major-Level Issues: Using binary logic, we count errors or contradictions in answers. Munkhjargal has 0 major issues across all responses, meeting the "error-free" criterion.

Based on these metrics, Munkhjargal Ariunbold demonstrates:

Consistency: 90%
High-Quality: 90%
Clarity: 80%
Precision: 90%
Major-Level Issues: 100% error-free
Therefore, he is the best candidate based on objective, measurable criteria.

raw_payload:
{"id": 164141, "discussion": 63050, "parent": 164108, "userid": 46672, "userfullname": "student_16", "created": "2024-11-16T18:50:00", "modified": "2024-11-16T18:50:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "To measure consistency, quality, clarity, precision, and major-level issues objectively, I propose the following metrics:\r\n\r\nConsistency: Measure the range of scores given to and received by the student. For example, Munkhjargal Ariunbold consistently scores between 7 and 9 across all evaluations, achieving 90% consistency.\r\n\r\nHigh-Quality: Based on the log-data, we calculate the percentage of correct answers out of total answers. For example, if 9 out of 10 answers are correct, the high-quality score is 90%.\r\n\r\nClarity: Munkhjargal\u0092s answer was 6, also he informed why does he choose it. So the clarity is good. So high quality score is exactly 85% or more above.\r\n\r\nPrecision: Precision is calculated by comparing the number of relevant points in an answer to the total points made. For instance, if Munkhjargal includes 18 relevant points out of 20, the precision score is 90%.\r\n\r\nMajor-Level Issues: Using binary logic, we count errors or contradictions in answers. Munkhjargal has 0 major issues across all responses, meeting the \"error-free\" criterion.\r\n\r\nBased on these metrics, Munkhjargal Ariunbold demonstrates:\r\n\r\nConsistency: 90%\r\nHigh-Quality: 90%\r\nClarity: 80%\r\nPrecision: 90%\r\nMajor-Level Issues: 100% error-free\r\nTherefore, he is the best candidate based on objective, measurable criteria.", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 192, "charcount": 1094}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 19:13:00.000000
modified: 2024-11-16 19:13:00.000000
subject: Re: Quasi Exam III
message:
"Consistency: Measure the range of scores given to and received by the student. For example, Munkhjargal Ariunbold consistently scores between 7 and 9 across all evaluations, achieving 90% consistency." <--more KNUTH-like: a=min(scores), b=max(scores), b-a=range1 and/or stdev(scores)=range2 /rules the less are the ranges (1, 2) the better is th person having the particular scores?! Is it more pseudocode-like as before?! (e.g. where consistency=90 can not be interpreted - without formulas)

raw_payload:
{"id": 164142, "discussion": 63050, "parent": 164141, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T19:13:00", "modified": "2024-11-16T19:13:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "\"Consistency: Measure the range of scores given to and received by the student. For example, Munkhjargal Ariunbold consistently scores between 7 and 9 across all evaluations, achieving 90% consistency.\" <--more KNUTH-like: a=min(scores), b=max(scores), b-a=range1 and/or stdev(scores)=range2 /rules the less are the ranges (1, 2) the better is th person having the particular scores?! Is it more pseudocode-like as before?! (e.g. where consistency=90 can not be interpreted - without formulas)", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 69, "charcount": 425}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_16
created: 2024-11-16 19:15:00.000000
modified: 2024-11-16 19:17:00.000000
subject: Re: Quasi Exam III
message:
1.Belhadj Abderrahmane:BWJPX0
2.Cabral de Noronha e Menezes Furtado António Maria:G4VH8T
3.MD Adnan Hossain Alif:BJT86N
4.MD Shahriar Islam:D5MUMA
5.Mortazavi Mahshid:E68IAT

The students listed above show no measurable evidence of participation in the course based on
(https://miau.my-x.hu/miau/315/quasi_exam_II_collected.xlsx). Their consistently low scores, combined with a lack of peer recognition and contributions, strongly indicate that they have not effectively "signed" for this course.

raw_payload:
{"id": 164143, "discussion": 63050, "parent": 163979, "userid": 46672, "userfullname": "student_16", "created": "2024-11-16T19:15:00", "modified": "2024-11-16T19:17:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "1.Belhadj Abderrahmane:BWJPX0\r\n2.Cabral de Noronha e Menezes Furtado Ant\u00f3nio Maria:G4VH8T\r\n3.MD Adnan Hossain Alif:BJT86N\r\n4.MD Shahriar Islam:D5MUMA\r\n5.Mortazavi Mahshid:E68IAT\r\n\r\nThe students listed above show no measurable evidence of participation in the course based on\r\n(https://miau.my-x.hu/miau/315/quasi_exam_II_collected.xlsx). Their consistently low scores, combined with a lack of peer recognition and contributions, strongly indicate that they have not effectively \"signed\" for this course.", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 59, "charcount": 437}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 19:16:00.000000
modified: 2024-11-16 19:16:00.000000
subject: Re: Quasi Exam III
message:
"Clarity: Munkhjargals answer was 6, also he informed why does he choose it. So the clarity is good. So high quality score is exactly 85% or more above."<--this magic-of-word-version can not be transform into a KNUTH-like code... parameter "6" is wrong, parameter "why" is chaotic, therefore clarity can still not be derived (see consistency)...

raw_payload:
{"id": 164144, "discussion": 63050, "parent": 164141, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T19:16:00", "modified": "2024-11-16T19:16:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "\"Clarity: Munkhjargal\u0092s answer was 6, also he informed why does he choose it. So the clarity is good. So high quality score is exactly 85% or more above.\"<--this magic-of-word-version can not be transform into a KNUTH-like code... parameter \"6\" is wrong, parameter \"why\" is chaotic, therefore clarity can still not be derived (see consistency)...", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 54, "charcount": 293}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 19:18:00.000000
modified: 2024-11-16 19:18:00.000000
subject: Re: Quasi Exam III
message:
"High-Quality: Based on the log-data, we calculate the percentage of correct answers out of total answers. For example, if 9 out of 10 answers are correct, the high-quality score is 90%."<--This seems to be a KNUTH-oriented=formula-oriented approach. On the other hand the suggested 90 % is not a value for one single particular person (being needed) but this is a statistical descriptive approach for a set of persons...

raw_payload:
{"id": 164145, "discussion": 63050, "parent": 164141, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T19:18:00", "modified": "2024-11-16T19:18:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "\"High-Quality: Based on the log-data, we calculate the percentage of correct answers out of total answers. For example, if 9 out of 10 answers are correct, the high-quality score is 90%.\"<--This seems to be a KNUTH-oriented=formula-oriented approach. On the other hand the suggested 90 % is not a value for one single particular person (being needed) but this is a statistical descriptive approach for a set of persons...", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 68, "charcount": 354}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 19:20:00.000000
modified: 2024-11-16 19:20:00.000000
subject: Re: Quasi Exam III
message:
"Precision: Precision is calculated by comparing the number of relevant points in an answer to the total points made. For instance, if Munkhjargal includes 18 relevant points out of 20, the precision score is 90%."<--the magic word of "relevant" is still not to transform into a KNUTH-like formula...

raw_payload:
{"id": 164146, "discussion": 63050, "parent": 164141, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T19:20:00", "modified": "2024-11-16T19:20:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "\"Precision: Precision is calculated by comparing the number of relevant points in an answer to the total points made. For instance, if Munkhjargal includes 18 relevant points out of 20, the precision score is 90%.\"<--the magic word of \"relevant\" is still not to transform into a KNUTH-like formula...", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 48, "charcount": 253}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 19:23:00.000000
modified: 2024-11-16 19:23:00.000000
subject: Re: Quasi Exam III
message:
"Major-Level Issues: Using binary logic, we count errors or contradictions in answers. Munkhjargal has 0 major issues across all responses, meeting the "error-free" criterion." <--We would need a list of errors for each person. BUT: what is an error? An error as such should be determined through a source code (c.f. KNUTH). What is "major"? This is a kind of scaling of the previously listed errors (which we do finally not have:-)

raw_payload:
{"id": 164147, "discussion": 63050, "parent": 164141, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T19:23:00", "modified": "2024-11-16T19:23:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "\"Major-Level Issues: Using binary logic, we count errors or contradictions in answers. Munkhjargal has 0 major issues across all responses, meeting the \"error-free\" criterion.\" <--We would need a list of errors for each person. BUT: what is an error? An error as such should be determined through a source code (c.f. KNUTH). What is \"major\"? This is a kind of scaling of the previously listed errors (which we do finally not have:-)", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 72, "charcount": 361}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 19:30:00.000000
modified: 2024-11-16 19:30:00.000000
subject: Re: Quasi Exam III
message:
"Based on these metrics, Munkhjargal Ariunbold demonstrates:
Consistency: 90% / High-Quality: 90% / Clarity: 80% / Precision: 90% / Major-Level Issues: 100% error-free. Therefore, he is the best candidate based on objective, measurable criteria."<--we try to talk about the BEST Student! Therefore, we do need a real comparison. Single-person-evaluations are strict forbidden. The best person is the particular person who can not be evaluated with the same evaluation value as each other. With other words: we do need an antidiscriminative optimization where the hypothesis is: could have each person the same evaluation score based on all of the raw data about their performances? If not, then one/few persons are better than the norm, one/few persons are a negative rel. evaluation, and it is possible the some persons can be detected, being norm-like. All these categories are defined for valid object, it means: there can be persons with invalid evaluations based on all the raw data we had...

raw_payload:
{"id": 164148, "discussion": 63050, "parent": 164141, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T19:30:00", "modified": "2024-11-16T19:30:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "\"Based on these metrics, Munkhjargal Ariunbold demonstrates:\r\nConsistency: 90% / High-Quality: 90% / Clarity: 80% / Precision: 90% / Major-Level Issues: 100% error-free. Therefore, he is the best candidate based on objective, measurable criteria.\"<--we try to talk about the BEST Student! Therefore, we do need a real comparison. Single-person-evaluations are strict forbidden. The best person is the particular person who can not be evaluated with the same evaluation value as each other. With other words: we do need an antidiscriminative optimization where the hypothesis is: could have each person the same evaluation score based on all of the raw data about their performances? If not, then one/few persons are better than the norm, one/few persons are a negative rel. evaluation, and it is possible the some persons can be detected, being norm-like. All these categories are defined for valid object, it means: there can be persons with invalid evaluations based on all the raw data we had...", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 157, "charcount": 841}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 19:33:00.000000
modified: 2024-11-16 19:33:00.000000
subject: Re: Quasi Exam III
message:
We do therefore need the totally avoiding of the not-KNUTH-oriented magic of words. A totally magic-free text version can be used as a prompt e.g. for the chatGPT, and chatGPT must be capable of transforming a good text into source code (formulas) without any problems! This is a kind of objective test/performance!

raw_payload:
{"id": 164150, "discussion": 63050, "parent": 164141, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T19:33:00", "modified": "2024-11-16T19:33:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "We do therefore need the totally avoiding of the not-KNUTH-oriented magic of words. A totally magic-free text version can be used as a prompt e.g. for the chatGPT, and chatGPT must be capable of transforming a good text into source code (formulas) without any problems! This is a kind of objective test/performance!", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 52, "charcount": 264}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-16 19:35:00.000000
modified: 2024-11-16 19:37:00.000000
subject: Re: Quasi Exam III
message:
Therefore would be possible, based on Moodle-log-data, to build a kind of robot-teacher! This objective/goal could be one of your topic for a good final thesis... Is somebody interested - maybe? This Moodle-course delivers the necessary data immediately! Other topics will quasi always have difficulties with the availability of qualitative data assets.

raw_payload:
{"id": 164151, "discussion": 63050, "parent": 164143, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-16T19:35:00", "modified": "2024-11-16T19:37:00", "mailed": 1, "subject": "Re: Quasi Exam III", "message": "Therefore would be possible, based on Moodle-log-data, to build a kind of robot-teacher! This objective/goal could be one of your topic for a good final thesis... Is somebody interested - maybe? This Moodle-course delivers the necessary data immediately! Other topics will quasi always have difficulties with the availability of qualitative data assets.", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 52, "charcount": 302}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_17
created: 2024-11-17 07:22:00.000000
modified: 2024-11-17 07:22:00.000000
subject: Tárgy: Re: Quasi Exam III
message:
1. Belhadj Abderrahmane:BWJPX0 Last access to cource - 26 days 10 hours --> No post on the forum
2. MD Shahriar Islam:D5MUMA Last acces to cource - 11 days 23 hours --> No post on the forum
3. Cabral de Noronha e Menezes Furtado António Maria:G4VH8T Last access to cource - 5 days 21 hours --> No post on the forum
4. MD Adnan Hossain Alif:BJT86N Last access to cource - 3 days 13 hours --> No post on the forum
5. Mortazavi Mahshid:E68IAT - Last access to couse - 3 days 5 hours --> No post on the forum

raw_payload:
{"id": 164165, "discussion": 63050, "parent": 163979, "userid": 45293, "userfullname": "student_17", "created": "2024-11-17T07:22:00", "modified": "2024-11-17T07:22:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "1. Belhadj Abderrahmane:BWJPX0 Last access to cource - 26 days 10 hours --> No post on the forum\r\n2. MD Shahriar Islam:D5MUMA Last acces to cource - 11 days 23 hours --> No post on the forum\r\n3. Cabral de Noronha e Menezes Furtado Ant\u00f3nio Maria:G4VH8T Last access to cource - 5 days 21 hours --> No post on the forum\r\n4. MD Adnan Hossain Alif:BJT86N Last access to cource - 3 days 13 hours --> No post on the forum\r\n5. Mortazavi Mahshid:E68IAT - Last access to couse - 3 days 5 hours --> No post on the forum", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 100, "charcount": 405}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: student_17
created: 2024-11-17 07:26:00.000000
modified: 2024-11-17 07:26:00.000000
subject: Tárgy: Re: Quasi Exam III
message:
I selected Munkhjargal Ariunbold as the best candidate based on the following criteria:

Consistently High-Quality Answers: Munkhjargal demonstrates strong performance across all evaluations, with high scores indicating reliable and accurate work.
Clarity and Precision: His responses are concise, clear, and align with the "ideal length" requirements, showing an ability to communicate effectively.
Error-Free Performance: There are no significant issues, contradictions, or exaggerated scores in his evaluations, ensuring his reliability.

raw_payload:
{"id": 164166, "discussion": 63050, "parent": 163981, "userid": 45293, "userfullname": "student_17", "created": "2024-11-17T07:26:00", "modified": "2024-11-17T07:26:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Quasi Exam III", "message": "I selected Munkhjargal Ariunbold as the best candidate based on the following criteria:\r\n\r\nConsistently High-Quality Answers: Munkhjargal demonstrates strong performance across all evaluations, with high scores indicating reliable and accurate work.\r\nClarity and Precision: His responses are concise, clear, and align with the \"ideal length\" requirements, showing an ability to communicate effectively.\r\nError-Free Performance: There are no significant issues, contradictions, or exaggerated scores in his evaluations, ensuring his reliability.", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 69, "charcount": 471}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-17 07:53:00.000000
modified: 2024-11-17 07:53:00.000000
subject: Re: Tárgy: Re: Quasi Exam III
message:
The log-based world is tough, but objective... (c.f. http://miau.my-x.hu/miau/212/160506/observations.xlsx)

raw_payload:
{"id": 164167, "discussion": 63050, "parent": 164165, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-17T07:53:00", "modified": "2024-11-17T07:53:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Quasi Exam III", "message": "The log-based world is tough, but objective... (c.f. http://miau.my-x.hu/miau/212/160506/observations.xlsx)", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 9, "charcount": 99}


dataset_id: f4ada376-8c67-4ac7-9e3b-84c343c63721
userfullname: professor_1
created: 2024-11-17 07:55:00.000000
modified: 2024-11-17 07:55:00.000000
subject: Re: Tárgy: Re: Quasi Exam III
message:
Please, try to follow the already existing guidelines: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63050#p164141 + entries directly to this item

raw_payload:
{"id": 164168, "discussion": 63050, "parent": 164166, "userid": 34004, "userfullname": "professor_1", "created": "2024-11-17T07:55:00", "modified": "2024-11-17T07:55:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Quasi Exam III", "message": "Please, try to follow the already existing guidelines: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63050#p164141 + entries directly to this item", "messageformat": 2, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 15, "charcount": 138}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-03 11:26:00.000000
modified: 2025-02-03 11:30:00.000000
subject: Corrupted logistic robot
message:
The first challenge should be interpreted as follows: There is a logistic robot (demo: https://miau.my-x.hu/miau/304/robotkar.MOV).This robot is functioning - seemingly correctly.Question: are we capable of deriving all of the rules behind the visible surface?Testing scenarios are already prepared: https://miau.my-x.hu/miau/320/testing_task1.xlsxTasks: interpreting all test scenarios (XLSX: 1;...;12), understanding data/structures, deriving the rules of the black box system, defining substitution-characters/colours for the used pattern: ?(????) <-- detailed solutions for place-ID (A;B;C;D)

raw_payload:
{"id": 164953, "discussion": 63498, "parent": 0, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-03T11:26:00", "modified": "2025-02-03T11:30:00", "mailed": 1, "subject": "Corrupted logistic robot", "message": "The first challenge should be interpreted as follows:\u00a0There is a logistic robot (demo: https://miau.my-x.hu/miau/304/robotkar.MOV).This robot is functioning - seemingly correctly.Question: are we capable of deriving all of the rules behind the visible surface?Testing scenarios are already prepared:\u00a0https://miau.my-x.hu/miau/320/testing_task1.xlsxTasks: interpreting all test scenarios (XLSX: 1;...;12), understanding data/structures, deriving the rules of the black box system, defining substitution-characters/colours for the used pattern: ?(????) <-- detailed solutions for place-ID (A;B;C;D)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 72, "charcount": 531}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-03 11:45:00.000000
modified: 2025-02-03 11:55:00.000000
subject: Re: Corrupted logistic robot
message:
Detailed demo-solutions for Scenario#9 (in Experiment#1):***  ***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_colour=green
Cell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue
Cell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red
Cell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_number=1
Cell(E28)_old_all=?(????) <--Cell(E28)_new_number=2
Cell(E29)_old_all=?(????) <--Cell(E29)_new_number=1
Cell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)
Cell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)
Cell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)
Cell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()
***Basic question: Is it correct? If not, which solution-layer why not?

raw_payload:
{"id": 164960, "discussion": 63498, "parent": 164953, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-03T11:45:00", "modified": "2025-02-03T11:55:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Detailed demo-solutions for Scenario#9 (in Experiment#1):***\u00a0\u00a0***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_colour=green\nCell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue\nCell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red\nCell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_number=1\nCell(E28)_old_all=?(????) <--Cell(E28)_new_number=2\nCell(E29)_old_all=?(????) <--Cell(E29)_new_number=1\nCell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)\nCell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)\nCell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)\nCell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()\n***Basic question: Is it correct? If not, which solution-layer why not?", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 46, "charcount": 773}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-03 11:55:00.000000
modified: 2025-02-03 11:55:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
Parallel question: How should we store all solution layers in case of all Students and assumped that everybody may   store unlimited guesses for each experiment, scenario, layer? (It means: each layer can have different number of guesses in case of a particular Student. / The expected database-structure should support the evaluation of the best Student based e.g. on pivot-tables/queries...)

raw_payload:
{"id": 164961, "discussion": 63498, "parent": 164960, "userid": 44100, "userfullname": "professor_1", "created": "2025-02-03T11:55:00", "modified": "2025-02-03T11:55:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "Parallel question: How should we store all solution layers in case of all Students and assumped that everybody may   store unlimited guesses for each experiment, scenario, layer? (It means: each layer can have different number of guesses in case of a particular Student. / The expected database-structure should support the evaluation of the best Student based e.g. on pivot-tables/queries...)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 59, "charcount": 333}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_7
created: 2025-02-04 10:59:00.000000
modified: 2025-02-04 10:59:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
Cell(E27)_old_all=?(????) <--Cell(E27)_new_ color =green
looks like should be:
Cell(E27)_old_all=?(????) <--Cell(E27)_new_ color =yellow
besides this, the solution seem to be correct overall. Deriving from: https://miau.my-x.hu/miau/320/testing_task1.xlsx

raw_payload:
{"id": 164962, "discussion": 63498, "parent": 164960, "userid": 46683, "userfullname": "student_7", "created": "2025-02-04T10:59:00", "modified": "2025-02-04T10:59:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "Cell(E27)_old_all=?(????) <--Cell(E27)_new_ color =green\nlooks like should be:\nCell(E27)_old_all=?(????) <--Cell(E27)_new_ color =yellow\nbesides this, the solution seem to be correct overall. Deriving from: https://miau.my-x.hu/miau/320/testing_task1.xlsx", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 24, "charcount": 232}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_7
created: 2025-02-04 11:27:00.000000
modified: 2025-02-04 11:27:00.000000
subject: Tárgy: Corrupted logistic robot
message:
Question: are we capable of deriving all of the rules behind the visible surface?
Answer: not all of the rules from the visible surface. Only the fact that the robot seem to be picking up the "cube"s from first in line and then scanning(most likely the color) them using using the machine on the left(from the camera point) then stacking them on the left in color order.
Task: 
EXPT.9
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_ color =yellow
Cell(E28)_old_all=?(????) <--Cell(E28)_new_ color = blue
Cell(E29)_old_all=?(????) <--Cell(E29)_new_ color =red
Cell(E30)_old_all=?(????) <--Cell(E30)_new_ color =not-used
***
Cell(E27)_old_all= ? (????) <--Cell(E27)_new_number=1
Cell(E28)_old_all= ? (????) <--Cell(E28)_new_number=2
Cell(E29)_old_all= ? (????) <--Cell(E29)_new_number=1
Cell(E30)_old_all= ? (????) <--Cell(E30)_new_number=not-used=0
***
Cell(E27)_old_all=?( ???? ) <--Cell(E27)_new_letters=(b)
Cell( E28)_old_all=?( ???? ) <--Cell(E28)_new_letters=(ad)
Cell(E29)_old_all=?( ???? ) <--Cell(E29)_new_letters=(c)
Cell(E30)_old_all=?( ???? ) <--Cell(E30)_new_letters=not-used=()
***
EXPT.10
***
Cell(K27)_old_all=?(????) <--Cell(K27)_new_ color =green
Cell(K28)_old_all=?(????) <--Cell(K28)_new_ color = red
Cell(K29)_old_all=?(????) <--Cell(K29)_new_ color =yellow
Cell(K30)_old_all=?(????) <--Cell(K30)_new_ color =not-used
***
Cell(K27)_old_all= ? (????) <--Cell(K27)_new_number=2
Cell(K28)_old_all= ? (????) <--Cell(K28)_new_number=1
Cell(K29)_old_all= ? (????) <--Cell(K29)_new_number=1
Cell(K30)_old_all= ? (????) <--Cell(K30)_new_number=not-used=0
***
Cell(K27)_old_all=?( ???? ) <--Cell(K27)_new_letters=(ab)
Cell(K28)_old_all=?( ???? ) <--Cell(K28)_new_letters=(c)
Cell(K29)_old_all=?( ???? ) <--Cell(K29)_new_letters=(d)
Cell(K30)_old_all=?( ???? ) <--Cell(K30)_new_letters=not-used=()
***
EXPT.11
***
Cell(Q27)_old_all=?(????) <--Cell(Q27)_new_ color =red
Cell(Q28)_old_all=?(????) <--Cell(Q28)_new_ color = green
Cell(Q29)_old_all=?(????) <--Cell(Q29)_new_ color =yellow
Cell(Q30)_old_all=?(????) <--Cell(Q30)_new_ color =not-used
***
Cell(Q27)_old_all= ? (????) <--Cell(Q27)_new_number=1
Cell(Q28)_old_all= ? (????) <--Cell(Q28)_new_number=2
Cell(Q29)_old_all= ? (????) <--Cell(Q29)_new_number=1
Cell(Q30)_old_all= ? (????) <--Cell(Q30)_new_number=not-used=0
***
Cell(Q27)_old_all=?( ???? ) <--Cell(Q27)_new_letters=(b)
Cell(Q28)_old_all=?( ???? ) <--Cell(Q28)_new_letters=(ad)
Cell(Q29)_old_all=?( ???? ) <--Cell(Q29)_new_letters=(c)
Cell(Q30)_old_all=?( ???? ) <--Cell(Q30)_new_letters=not-used=()
***
EXPT.12

***
Cell(W27)_old_all=?(????) <--Cell(W27)_new_ color =yellow
Cell(W28)_old_all=?(????) <--Cell(W28)_new_ color = green
Cell(W29)_old_all=?(????) <--Cell(W29)_new_ color =blue
Cell(W30)_old_all=?(????) <--Cell(W30)_new_ color =not-used
***
Cell(W27)_old_all= ? (????) <--Cell(W27)_new_number=1
Cell(W28)_old_all= ? (????) <--Cell(W28)_new_number=1
Cell(W29)_old_all= ? (????) <--Cell(W29)_new_number=2
Cell(W30)_old_all= ? (????) <--Cell(W30)_new_number=not-used=0
***
Cell(W27)_old_all=?( ???? ) <--Cell(W27)_new_letters=(a)
Cell(W28)_old_all=?( ???? ) <--Cell(W28)_new_letters=(b)
Cell(W29)_old_all=?( ???? ) <--Cell(W29)_new_letters=(cd)
Cell(W30)_old_all=?( ???? ) <--Cell(W30)_new_letters=not-used=()
***

raw_payload:
{"id": 164963, "discussion": 63498, "parent": 164953, "userid": 46683, "userfullname": "student_7", "created": "2025-02-04T11:27:00", "modified": "2025-02-04T11:27:00", "mailed": 1, "subject": "T\u00e1rgy: Corrupted logistic robot", "message": "Question: are we capable of deriving all of the rules behind the visible surface?\nAnswer: not all of the rules from the visible surface. Only the fact that the robot seem to be picking up the \"cube\"s from first in line and then scanning(most likely the color) them using using the machine on the left(from the camera point) then stacking them on the left in color order.\nTask: \nEXPT.9\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_ color =yellow\nCell(E28)_old_all=?(????) <--Cell(E28)_new_ color = blue\nCell(E29)_old_all=?(????) <--Cell(E29)_new_ color =red\nCell(E30)_old_all=?(????) <--Cell(E30)_new_ color =not-used\n***\nCell(E27)_old_all= ? (????) <--Cell(E27)_new_number=1\nCell(E28)_old_all= ? (????) <--Cell(E28)_new_number=2\nCell(E29)_old_all= ? (????) <--Cell(E29)_new_number=1\nCell(E30)_old_all= ? (????) <--Cell(E30)_new_number=not-used=0\n***\nCell(E27)_old_all=?( ???? ) <--Cell(E27)_new_letters=(b)\nCell( E28)_old_all=?( ???? ) <--Cell(E28)_new_letters=(ad)\nCell(E29)_old_all=?( ???? ) <--Cell(E29)_new_letters=(c)\nCell(E30)_old_all=?( ???? ) <--Cell(E30)_new_letters=not-used=()\n***\nEXPT.10\n***\nCell(K27)_old_all=?(????) <--Cell(K27)_new_ color =green\nCell(K28)_old_all=?(????) <--Cell(K28)_new_ color = red\nCell(K29)_old_all=?(????) <--Cell(K29)_new_ color =yellow\nCell(K30)_old_all=?(????) <--Cell(K30)_new_ color =not-used\n***\nCell(K27)_old_all= ? (????) <--Cell(K27)_new_number=2\nCell(K28)_old_all= ? (????) <--Cell(K28)_new_number=1\nCell(K29)_old_all= ? (????) <--Cell(K29)_new_number=1\nCell(K30)_old_all= ? (????) <--Cell(K30)_new_number=not-used=0\n***\nCell(K27)_old_all=?( ???? ) <--Cell(K27)_new_letters=(ab)\nCell(K28)_old_all=?( ???? ) <--Cell(K28)_new_letters=(c)\nCell(K29)_old_all=?( ???? ) <--Cell(K29)_new_letters=(d)\nCell(K30)_old_all=?( ???? ) <--Cell(K30)_new_letters=not-used=()\n***\nEXPT.11\n***\nCell(Q27)_old_all=?(????) <--Cell(Q27)_new_ color =red\nCell(Q28)_old_all=?(????) <--Cell(Q28)_new_ color = green\nCell(Q29)_old_all=?(????) <--Cell(Q29)_new_ color =yellow\nCell(Q30)_old_all=?(????) <--Cell(Q30)_new_ color =not-used\n***\nCell(Q27)_old_all= ? (????) <--Cell(Q27)_new_number=1\nCell(Q28)_old_all= ? (????) <--Cell(Q28)_new_number=2\nCell(Q29)_old_all= ? (????) <--Cell(Q29)_new_number=1\nCell(Q30)_old_all= ? (????) <--Cell(Q30)_new_number=not-used=0\n***\nCell(Q27)_old_all=?( ???? ) <--Cell(Q27)_new_letters=(b)\nCell(Q28)_old_all=?( ???? ) <--Cell(Q28)_new_letters=(ad)\nCell(Q29)_old_all=?( ???? ) <--Cell(Q29)_new_letters=(c)\nCell(Q30)_old_all=?( ???? ) <--Cell(Q30)_new_letters=not-used=()\n***\nEXPT.12\n\n***\nCell(W27)_old_all=?(????) <--Cell(W27)_new_ color =yellow\nCell(W28)_old_all=?(????) <--Cell(W28)_new_ color = green\nCell(W29)_old_all=?(????) <--Cell(W29)_new_ color =blue\nCell(W30)_old_all=?(????) <--Cell(W30)_new_ color =not-used\n***\nCell(W27)_old_all= ? (????) <--Cell(W27)_new_number=1\nCell(W28)_old_all= ? (????) <--Cell(W28)_new_number=1\nCell(W29)_old_all= ? (????) <--Cell(W29)_new_number=2\nCell(W30)_old_all= ? (????) <--Cell(W30)_new_number=not-used=0\n***\nCell(W27)_old_all=?( ???? ) <--Cell(W27)_new_letters=(a)\nCell(W28)_old_all=?( ???? ) <--Cell(W28)_new_letters=(b)\nCell(W29)_old_all=?( ???? ) <--Cell(W29)_new_letters=(cd)\nCell(W30)_old_all=?( ???? ) <--Cell(W30)_new_letters=not-used=()\n***", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 285, "charcount": 2960}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-04 12:13:00.000000
modified: 2025-02-04 12:13:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message: Argumentation = there is no green cube in the set... :-)
raw_payload:
{"id": 164965, "discussion": 63498, "parent": 164962, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-04T12:13:00", "modified": "2025-02-04T12:13:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "Argumentation = there is no green cube in the set... :-)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 11, "charcount": 46}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-04 12:16:00.000000
modified: 2025-02-04 12:18:00.000000
subject: Re: Tárgy: Corrupted logistic robot
message:
There is a lot of potential errors in the solutions for #10-11-12 (c.f. https://miau.my-x.hu/miau/320/testing_task1_guesses.xlsx). Please, derive: which scenarios are pros and which scenarios are cons for each particular solution-layer? Please, try to answer layer-by-layer! (e.g. EXPT.10***Cell(K27)_old_all=?(????) <--Cell(K27)_new_ color =green<--pros? & cons?)

raw_payload:
{"id": 164966, "discussion": 63498, "parent": 164963, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-04T12:16:00", "modified": "2025-02-04T12:18:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Corrupted logistic robot", "message": "There is a lot of potential errors in the solutions for #10-11-12 (c.f. https://miau.my-x.hu/miau/320/testing_task1_guesses.xlsx). Please, derive: which scenarios are pros and which scenarios are cons for each particular solution-layer? Please, try to answer layer-by-layer! (e.g.\u00a0EXPT.10***Cell(K27)_old_all=?(????) <--Cell(K27)_new_ color =green<--pros? & cons?)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 41, "charcount": 325}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_7
created: 2025-02-04 12:25:00.000000
modified: 2025-02-04 12:25:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
Each experiment (EXPT.9, EXPT.10, etc.) contains multiple guesses for different cell references (E27, K27, etc.), with three key attributes:
New Color (e.g., yellow, blue, red)
New Number (e.g., 1, 2, 0)
New Letters (e.g., (a), (b), etc.)

Data entry(EXPT.9):
INSERT INTO Guesses (student_id, experiment_id, layer_id, cell_reference, old_value, new_color, new_number, new_letters, timestamp)
VALUES 
(1, 9, 1, 'E27', '?(????)', 'yellow', 1, '(b)', CURRENT_TIMESTAMP),
(1, 9, 1, 'E28', '?(????)', 'blue', 2, '(ad)', CURRENT_TIMESTAMP),
(1, 9, 1, 'E29', '?(????)', 'red', 1, '(c)', CURRENT_TIMESTAMP),
(1, 9, 1, 'E30', '?(????)', 'not-used', 0, '()', CURRENT_TIMESTAMP);
Query to find the "best student"
SELECT student_id, COUNT(*) AS correct_guesses
FROM Evaluations
WHERE correct = 1
GROUP BY student_id
ORDER BY correct_guesses DESC;

retrieving guesses from other experiments:
SELECT * FROM Guesses WHERE experiment_id = 10;(11; etc.)

raw_payload:
{"id": 164967, "discussion": 63498, "parent": 164961, "userid": 46683, "userfullname": "student_7", "created": "2025-02-04T12:25:00", "modified": "2025-02-04T12:25:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "Each experiment (EXPT.9, EXPT.10, etc.) contains multiple guesses for different cell references (E27, K27, etc.), with three key attributes:\nNew Color (e.g., yellow, blue, red)\nNew Number (e.g., 1, 2, 0)\nNew Letters (e.g., (a), (b), etc.)\n\nData entry(EXPT.9):\nINSERT INTO Guesses (student_id, experiment_id, layer_id, cell_reference, old_value, new_color, new_number, new_letters, timestamp)\nVALUES \n(1, 9, 1, 'E27', '?(????)', 'yellow', 1, '(b)', CURRENT_TIMESTAMP),\n(1, 9, 1, 'E28', '?(????)', 'blue', 2, '(ad)', CURRENT_TIMESTAMP),\n(1, 9, 1, 'E29', '?(????)', 'red', 1, '(c)', CURRENT_TIMESTAMP),\n(1, 9, 1, 'E30', '?(????)', 'not-used', 0, '()', CURRENT_TIMESTAMP);\nQuery to find the \"best student\"\nSELECT student_id, COUNT(*) AS correct_guesses\nFROM Evaluations\nWHERE correct = 1\nGROUP BY student_id\nORDER BY correct_guesses DESC;\n\nretrieving guesses from other experiments:\nSELECT * FROM Guesses WHERE experiment_id = 10;(11; etc.)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 126, "charcount": 808}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-04 13:40:00.000000
modified: 2025-02-04 13:40:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
It would be nice to see an Excel-demo with at least one appropriate pivot-output to demonstrate the power of the suggested (seemingly robust) data-structure...

raw_payload:
{"id": 164969, "discussion": 63498, "parent": 164967, "userid": 44100, "userfullname": "professor_1", "created": "2025-02-04T13:40:00", "modified": "2025-02-04T13:40:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "It would be nice to see an Excel-demo with at least one appropriate pivot-output to demonstrate the power of the suggested (seemingly robust) data-structure...", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 24, "charcount": 136}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_17
created: 2025-02-04 13:47:00.000000
modified: 2025-02-04 13:47:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
Colour Layer: b is mapped to green while there is no green
Number Layer: Seems valid if numbers indicate stacking height.
Letters Layer: No, d or a appears in the layer

Which solution-layer is incorrect and why?
    Colour Layer: unused color green and yellow
    Letters Layer: Inconsistent with the number layer.

Correct solution looks something like this:
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow
Cell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue
Cell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red
Cell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_number=1
Cell(E28)_old_all=?(????) <--Cell(E28)_new_number=2
Cell(E29)_old_all=?(????) <--Cell(E29)_new_number=1
Cell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)
Cell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(a)
Cell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)
Cell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=(d)
***

raw_payload:
{"id": 164970, "discussion": 63498, "parent": 164960, "userid": 45293, "userfullname": "student_17", "created": "2025-02-04T13:47:00", "modified": "2025-02-04T13:47:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "Colour Layer: b is mapped to green while there is no green\nNumber Layer: Seems valid if numbers indicate stacking height.\nLetters Layer: No, d or a appears in the layer\n\nWhich solution-layer is incorrect and why?\n    Colour Layer: unused color green and yellow\n    Letters Layer: Inconsistent with the number layer.\n\nCorrect solution looks something like this:\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow\nCell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue\nCell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red\nCell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_number=1\nCell(E28)_old_all=?(????) <--Cell(E28)_new_number=2\nCell(E29)_old_all=?(????) <--Cell(E29)_new_number=1\nCell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)\nCell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(a)\nCell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)\nCell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=(d)\n***", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 85, "charcount": 953}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_6
created: 2025-02-04 14:13:00.000000
modified: 2025-02-04 14:13:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
Answer is: Not correct, why?

Because
Cell(E27)_old_all=?(????) <--Cell(E27)_new_colour=green, this is the error, because it should be yellow instead of green.

Correct solution looks like this:

***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow
Cell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue
Cell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red
Cell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_number=1
Cell(E28)_old_all=?(????) <--Cell(E28)_new_number=2
Cell(E29)_old_all=?(????) <--Cell(E29)_new_number=1
Cell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)
Cell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)
Cell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)
Cell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()
***

raw_payload:
{"id": 164971, "discussion": 63498, "parent": 164960, "userid": 47139, "userfullname": "student_6", "created": "2025-02-04T14:13:00", "modified": "2025-02-04T14:13:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "Answer is: Not correct, why?\n\nBecause\nCell(E27)_old_all=?(????) <--Cell(E27)_new_colour=green, this is the error, because it should be yellow instead of green.\n\nCorrect solution looks like this:\n\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow\nCell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue\nCell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red\nCell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_number=1\nCell(E28)_old_all=?(????) <--Cell(E28)_new_number=2\nCell(E29)_old_all=?(????) <--Cell(E29)_new_number=1\nCell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)\nCell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)\nCell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)\nCell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()\n***", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 53, "charcount": 827}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_6
created: 2025-02-04 14:19:00.000000
modified: 2025-02-04 14:21:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
If we assume that every student can submit unlimited guesses for each experiment, scenario, and solution layer, we need a structured and organized way to store this data. The system should be capable of handling:
1. Multiple students working on the same problem.2. Multiple attempts per student for each scenario.3. Different layers of solutions as students refine their understanding.4. Comparisons between correct and incorrect answers to track learning progress.

Proposed Storage Structure
We can use a database table to store the solutions efficiently. Here is a suggested schema:

Column Name (Description)
Student_ID (Identifies the student who submitted the answer.)
Experiment_ID (The experiment number (e.g., #9, #10, #11, #12).)
Layer_ID	(Represents the version of a student’s solution for a given experiment.)
Timestamp	(The exact date and time of submission (helps track progress).)
Input_Data	(The initial setup of cubes/colors (e.g., a, b, c, d with specific colors).)
Generated_Output_Data	(The student's proposed output (e.g., "2(ab), 1(c), 1(d)").)
Correctness_Status	(Whether the answer is correct, partially correct, or incorrect.)
Teacher_Feedback	(Optional field where teachers can give hints or explanations.)
How This Structure Helps?1. Allows unlimited guesses – Since each attempt is stored with a unique Layer_ID, students can refine their solutions without overwriting previous attempts.2. Supports collaboration – If students compare their Generated_Output_Data with peers, they can learn from each other’s mistakes.3. Provides a learning timeline – With timestamps, we can track whether students improve over time.4. Facilitates automated evaluation – The system can automatically compare Generated_Output_Data with correct patterns and mark correctness (Correct, Incorrect, Partial).5. Helps teachers analyze common mistakes – If many students make the same error, the teacher can adjust explanations accordingly.

raw_payload:
{"id": 164972, "discussion": 63498, "parent": 164961, "userid": 47139, "userfullname": "student_6", "created": "2025-02-04T14:19:00", "modified": "2025-02-04T14:21:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "If we assume that every student can submit unlimited guesses for each experiment, scenario, and solution layer, we need a structured and organized way to store this data. The system should be capable of handling:\n1. Multiple students working on the same problem.2. Multiple attempts per student for each scenario.3. Different layers of solutions as students refine their understanding.4. Comparisons between correct and incorrect answers to track learning progress.\n\nProposed Storage Structure\nWe can use a database table to store the solutions efficiently. Here is a suggested schema:\n\nColumn Name (Description)\nStudent_ID (Identifies the student who submitted the answer.)\nExperiment_ID (The experiment number (e.g., #9, #10, #11, #12).)\nLayer_ID\t(Represents the version of a student\u2019s solution for a given experiment.)\nTimestamp\t(The exact date and time of submission (helps track progress).)\nInput_Data\t(The initial setup of cubes/colors (e.g., a, b, c, d with specific colors).)\nGenerated_Output_Data\t(The student's proposed output (e.g., \"2(ab), 1(c), 1(d)\").)\nCorrectness_Status\t(Whether the answer is correct, partially correct, or incorrect.)\nTeacher_Feedback\t(Optional field where teachers can give hints or explanations.)\nHow This Structure Helps?1. Allows unlimited guesses \u2013 Since each attempt is stored with a unique Layer_ID, students can refine their solutions without overwriting previous attempts.2. Supports collaboration \u2013 If students compare their Generated_Output_Data with peers, they can learn from each other\u2019s mistakes.3. Provides a learning timeline \u2013 With timestamps, we can track whether students improve over time.4. Facilitates automated evaluation \u2013 The system can automatically compare Generated_Output_Data with correct patterns and mark correctness (Correct, Incorrect, Partial).5. Helps teachers analyze common mistakes \u2013 If many students make the same error, the teacher can adjust explanations accordingly.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 273, "charcount": 1673}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-04 22:00:00.000000
modified: 2025-02-04 22:00:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
It would also be nice to see an Excel-demo with at least one appropriate pivot-output to demonstrate the power of the suggested (seemingly robust) data-structure... (Remark: In a final thesis, if texts are integrated into the own documents, but they come from conversations with the ChatGPT/Copilot/etc. - it is always necessary to use quotation signs and the source must also be defined. A plagiat-problem is the last, what somebody do need...

raw_payload:
{"id": 164977, "discussion": 63498, "parent": 164972, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-04T22:00:00", "modified": "2025-02-04T22:00:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "It would also be nice to see an Excel-demo with at least one appropriate pivot-output to demonstrate the power of the suggested (seemingly robust) data-structure... (Remark: In a final thesis, if texts are integrated into the own documents, but they come from conversations with the ChatGPT/Copilot/etc. - it is always necessary to use quotation signs and the source must also be defined. A plagiat-problem is the last, what somebody do need...", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 71, "charcount": 374}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-04 22:03:00.000000
modified: 2025-02-04 22:03:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
If this solution (for scenario #9) will be accepted as a fact (similar to the scenarios #1-2-3-4-5-6-7-8, are we already prepared to solve the problems presented in scenarios #10-11-12?

raw_payload:
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dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-05 08:55:00.000000
modified: 2025-02-05 08:55:00.000000
subject: Re: Corrupted logistic robot
message:
Please, try to declare potential rules based on the TESTING_TASK1.XLSX! 
Rule#1: Based on the scenarios #4-5-6-7-8: green towers of cubes will consequently be built on the place-id "A". 
Rule#i: (your turns in new entries below)
(Based on a lot of these partial rules, we have to derive the "hermeneutic trap" created for your in this task!)
(This task is a kind of magic performance, where your mind will be influenced to think/to see in an irrational way...)
(You have the necessary details to be capable of interpreting the entire system correctly, but one disturbing impulse is present - even in multiply copies...)

raw_payload:
{"id": 164980, "discussion": 63498, "parent": 164953, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-05T08:55:00", "modified": "2025-02-05T08:55:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Please, try to declare potential rules based on the TESTING_TASK1.XLSX! \nRule#1: Based on the scenarios #4-5-6-7-8: green towers of cubes will consequently be built on the place-id \"A\". \nRule#i: (your turns in new entries below)\n(Based on a lot of these partial rules, we have to derive the \"hermeneutic trap\" created for your in this task!)\n(This task is a kind of magic performance, where your mind will be influenced to think/to see in an irrational way...)\n(You have the necessary details to be capable of interpreting the entire system correctly, but one disturbing impulse is present - even in multiply copies...)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 102, "charcount": 516}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_6
created: 2025-02-05 10:59:00.000000
modified: 2025-02-05 11:01:00.000000
subject: Tárgy: Re: Tárgy: Re: Corrupted logistic robot
message:
In the excel file, yellow and green are always in the first place, maybe it's not a coincidence? maybe they are related in some way, because then how could you decide what the order will be in #10 #11 #12? yellow and green never met before the #10.In addition, it was written "accidentally" that there is green instead of yellow.Anyway, my first answer to #9 is what I wrote, but it's going to be more complicated than we think.

raw_payload:
{"id": 164981, "discussion": 63498, "parent": 164978, "userid": 47139, "userfullname": "student_6", "created": "2025-02-05T10:59:00", "modified": "2025-02-05T11:01:00", "mailed": 1, "subject": "T\u00e1rgy: Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "In the excel file, yellow and green are always in the first place, maybe it's not a coincidence?\u00a0maybe they are related in some way, because then how could you decide what the order will be in #10 #11 #12?\u00a0yellow and green never met before the #10.In addition, it was written \"accidentally\" that there is green instead of yellow.Anyway, my first answer to #9 is what I wrote, but it's going to be more complicated than we think.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 81, "charcount": 352}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_6
created: 2025-02-05 11:09:00.000000
modified: 2025-02-05 11:09:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
The rules are:

The system is a "Black Box" that produces an output according to specific rules

The columns contain different input values ​​(Inputx) (e.g. a, b, c, d).

The outputs are organized according to certain rules, arranging the colored cubes in towers. (Green and yellow in 1st place, blue in 2nd place and finally red in 3rd place)

Their shape looks like this ?(????), the falling question mark is replaced by how many pieces of the given color are found (if there are more pieces, then by definition there will not be 1 but more than 1, this can also be seen in the robot video, because it stacks the cubes of the same color on top of each other. The question marks in the brackets indicate which letters are assigned to the given color.

And the task is to answer #9 #10 #11 #12 and write something instead of the many question marks.

raw_payload:
{"id": 164982, "discussion": 63498, "parent": 164980, "userid": 47139, "userfullname": "student_6", "created": "2025-02-05T11:09:00", "modified": "2025-02-05T11:09:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "The rules are:\n\nThe system is a \"Black Box\" that produces an output according to specific rules\n\nThe columns contain different input values \u200b\u200b(Inputx) (e.g. a, b, c, d).\n\nThe outputs are organized according to certain rules, arranging the colored cubes in towers. (Green and yellow in 1st place, blue in 2nd place and finally red in 3rd place)\n\nTheir shape looks like this ?(????), the falling question mark is replaced by how many pieces of the given color are found (if there are more pieces, then by definition there will not be 1 but more than 1, this can also be seen in the robot video, because it stacks the cubes of the same color on top of each other. The question marks in the brackets indicate which letters are assigned to the given color.\n\nAnd the task is to answer #9 #10 #11 #12 and write something instead of the many question marks.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 155, "charcount": 690}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-05 12:08:00.000000
modified: 2025-02-05 12:08:00.000000
subject: Tárgy: Re: Tárgy: Re: Corrupted logistic robot
message: Excellent interpretations!
raw_payload:
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dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-05 12:15:00.000000
modified: 2025-02-05 12:15:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
Recommendation for this task: the rules should be formulated as simple as possible! Long text streams do not really have a clear structure. The rules are correct formulated, if they can be transformed into source codes by all of you without any comlications (cf. Knuth)...

raw_payload:
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dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_20
created: 2025-02-05 15:18:00.000000
modified: 2025-02-05 15:18:00.000000
subject: Re: Corrupted logistic robot
message:
The general requirement of the black box system in this case is to sort colored blocks into 4 slots (A, B, C, D). Each slot should hold blocks of one color only.

The Problem is happening in scenarios #4, #9–12; the system makes a mistake: it assigns the color green to slot A in the current logic. However, slot A was already assigned to the color yellow in scenario#1

This mix-up (green and yellow in slot A) breaks the rule of “one color per slot.” The system can’t stack blocks correctly because of this conflict.

Example:
In Experiment #2 (Scenario #9), the system mistakenly places a yellow block in slot A. However, in Scenario #5, a green block is placed in the same slot A. This inconsistency causes multiple colors to be stacked in one column, leading to sorting errors.

>>>>The detailed solution for scenarios #9- 12 and the corrected logic on experiment#1 are in the attached EXCEL file. 

The issue is that two different colors are being assigned to a single placeholder, which indicates a flaw in the system's logic. This may be due to outdated internal software or a malfunctioning sensor. Additionally, the color recognition algorithm might not be working properly.

Further possible experiments:
By adding more colors and placeholders to give more randomized inputs to test the performance with the correct logic. 

Testing color recognition algorithm by real-time monitoring. 

Instead of RGB, we can use HSV for multi-dimensional color analysis. In real-life scenarios, it is crucial to identify items without any mistakes In any condition.

raw_payload:
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dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-05 17:03:00.000000
modified: 2025-02-05 17:03:00.000000
subject: Re: Corrupted logistic robot
message:
Excellent focus points can be found in the above-presented interpretation. BUT the offered xlsx-version is still in the hermeneutical trap  it means, the solution can not be accepted. The above-listed conclusions are more complex, than the reality is. :-) 
Detailed argumentation: GREEN towers may not built everywher, only on the slot/place-id "A": the initial scenarios (#1-2-3-4-5-6-7-8) present clear examples: green cubes must be to slot "A". We do not have other "instruction" and the instructions (rules) MUST BE FOLLOWED: a software do make each step based on predefinied rules. We are searching for such an interpretation for the black-box-system, where EACH previous rule is valid for ever. It is forbidden to create/assume hidden rules, which are given, but the impacts of these hidden rules could still not be observed. More observations/scenarios are not needed to interpret the black box system as a very-very-simple white-box-system. We have however to ignore the very impulse leading to the hermeneutical trapping... The interpretation above did already highlight this sensitive point... :-)

raw_payload:
{"id": 164989, "discussion": 63498, "parent": 164988, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-05T17:03:00", "modified": "2025-02-05T17:03:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Excellent focus points can be found in the above-presented interpretation. BUT the offered xlsx-version is still in the hermeneutical trap  it means, the solution can not be accepted. The above-listed conclusions are more complex, than the reality is. :-) \nDetailed argumentation: GREEN towers may not built everywher, only on the slot/place-id \"A\": the initial scenarios (#1-2-3-4-5-6-7-8) present clear examples: green cubes must be to slot \"A\". We do not have other \"instruction\" and the instructions (rules) MUST BE FOLLOWED: a software do make each step based on predefinied rules. We are searching for such an interpretation for the black-box-system, where EACH previous rule is valid for ever. It is forbidden to create/assume hidden rules, which are given, but the impacts of these hidden rules could still not be observed. More observations/scenarios are not needed to interpret the black box system as a very-very-simple white-box-system. We have however to ignore the very impulse leading to the hermeneutical trapping... The interpretation above did already highlight this sensitive point... :-)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 167, "charcount": 939}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-05 17:24:00.000000
modified: 2025-02-05 17:24:00.000000
subject: Re: Corrupted logistic robot
message:
Sub-task helping to focus correctly: Which sentence is the most relevant? 
here: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p164988

raw_payload:
{"id": 164990, "discussion": 63498, "parent": 164989, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-05T17:24:00", "modified": "2025-02-05T17:24:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Sub-task helping to focus correctly: Which sentence is the most relevant? \nhere: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p164988", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 13, "charcount": 133}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-05 17:26:00.000000
modified: 2025-02-05 17:26:00.000000
subject: Re: Corrupted logistic robot
message:
Sub-task helping to focus correctly: Which rules (coming from scenarios #1-2-3-4-5-6-7-8 are definitely not followed? here in case of scenarios #10-11-12: https://moodle.kodolanyi.hu/pluginfile.php/444774/mod_forum/attachment/164988/testing_task1_Shagai.xlsx?forcedownload=1

raw_payload:
{"id": 164991, "discussion": 63498, "parent": 164989, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-05T17:26:00", "modified": "2025-02-05T17:26:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Sub-task helping to focus correctly: Which rules (coming from scenarios #1-2-3-4-5-6-7-8 are definitely not followed? here in case of scenarios #10-11-12: https://moodle.kodolanyi.hu/pluginfile.php/444774/mod_forum/attachment/164988/testing_task1_Shagai.xlsx?forcedownload=1", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 22, "charcount": 253}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_8
created: 2025-02-05 21:09:00.000000
modified: 2025-02-05 21:09:00.000000
subject: Re: Corrupted logistic robot
message:
Basic question answer: Not correct.

WHY? 
In Experiment#1, Scenario#9, there is not any green colour in "Input9" column, which makes first solution layer wrong (Cell(E27)_old_all=?(????) <--Cell(E27)_new_colour=green).

The correct answer is
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow
Cell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue
Cell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red
Cell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_number=1
Cell(E28)_old_all=?(????) <--Cell(E28)_new_number=2
Cell(E29)_old_all=?(????) <--Cell(E29)_new_number=1
Cell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)
Cell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)
Cell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)
Cell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()
***

raw_payload:
{"id": 164992, "discussion": 63498, "parent": 164960, "userid": 46674, "userfullname": "student_8", "created": "2025-02-05T21:09:00", "modified": "2025-02-05T21:09:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Basic question answer: Not correct.\n\nWHY? \nIn Experiment#1, Scenario#9, there is not any green colour in \"Input9\" column, which makes first solution layer wrong (Cell(E27)_old_all=?(????) <--Cell(E27)_new_colour=green).\n\nThe correct answer is\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow\nCell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue\nCell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red\nCell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_number=1\nCell(E28)_old_all=?(????) <--Cell(E28)_new_number=2\nCell(E29)_old_all=?(????) <--Cell(E29)_new_number=1\nCell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)\nCell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)\nCell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)\nCell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()\n***", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 58, "charcount": 869}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_10
created: 2025-02-05 21:24:00.000000
modified: 2025-02-05 21:26:00.000000
subject: Re: Corrupted logistic robot
message:
Basic question answer is incorrect.why? there is no green.Experiment#1 Scenario#9
Cell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow
Cell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue
Cell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red
Cell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_number=1
Cell(E28)_old_all=?(????) <--Cell(E28)_new_number=2
Cell(E29)_old_all=?(????) <--Cell(E29)_new_number=1
Cell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)
Cell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)
Cell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)
Cell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()

Scenario#10
Cell(K27)_old_all=?(????) <--Cell(E27)_new_colour=yellow
Cell(K28)_old_all=?(????) <--Cell(E28)_new_colour=green
Cell(K29)_old_all=?(????) <--Cell(E29)_new_colour=red
Cell(K30)_old_all=?(????) <--Cell(E30)_new_colour=not-used
***
Cell(K27)_old_all=?(????) <--Cell(E27)_new_number=1
Cell(K28)_old_all=?(????) <--Cell(E28)_new_number=2
Cell(K29)_old_all=?(????) <--Cell(E29)_new_number=1
Cell(K30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0
***
Cell(K27)_old_all=?(????) <--Cell(E27)_new_letters=(d)
Cell(K28)_old_all=?(????) <--Cell(E28)_new_letters=(ab)
Cell(K29)_old_all=?(????) <--Cell(E29)_new_letters=(c)
Cell(K30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()

Scenario#11
Cell(Q27)_old_all=?(????) <--Cell(E27)_new_colour=yellow
Cell(Q28)_old_all=?(????) <--Cell(E28)_new_colour=green
Cell(Q29)_old_all=?(????) <--Cell(E29)_new_colour=red
Cell(Q30)_old_all=?(????) <--Cell(E30)_new_colour=not-used
***
Cell(Q27)_old_all=?(????) <--Cell(E27)_new_number=1
Cell(Q28)_old_all=?(????) <--Cell(E28)_new_number=2
Cell(Q29)_old_all=?(????) <--Cell(E29)_new_number=1
Cell(Q30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0
***
Cell(Q27)_old_all=?(????) <--Cell(E27)_new_letters=(c)
Cell(Q28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)
Cell(Q29)_old_all=?(????) <--Cell(E29)_new_letters=(b)
Cell(Q30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()

Scenario#12
Cell(W27)_old_all=?(????) <--Cell(E27)_new_colour=yellow
Cell(W28)_old_all=?(????) <--Cell(E28)_new_colour=blue
Cell(W29)_old_all=?(????) <--Cell(E29)_new_colour=green
Cell(W30)_old_all=?(????) <--Cell(E30)_new_colour=not-used
***
Cell(W27)_old_all=?(????) <--Cell(E27)_new_number=1
Cell(W28)_old_all=?(????) <--Cell(E28)_new_number=2
Cell(W29)_old_all=?(????) <--Cell(E29)_new_number=1
Cell(W30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0
***
Cell(W27)_old_all=?(????) <--Cell(E27)_new_letters=(a)
Cell(W28)_old_all=?(????) <--Cell(E28)_new_letters=(cd)
Cell(W29)_old_all=?(????) <--Cell(E29)_new_letters=(b)
Cell(W30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()

raw_payload:
{"id": 164993, "discussion": 63498, "parent": 164960, "userid": 46677, "userfullname": "student_10", "created": "2025-02-05T21:24:00", "modified": "2025-02-05T21:26:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Basic question answer is incorrect.why? there is no green.Experiment#1 Scenario#9\nCell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow\nCell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue\nCell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red\nCell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_number=1\nCell(E28)_old_all=?(????) <--Cell(E28)_new_number=2\nCell(E29)_old_all=?(????) <--Cell(E29)_new_number=1\nCell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)\nCell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)\nCell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)\nCell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()\n\nScenario#10\nCell(K27)_old_all=?(????) <--Cell(E27)_new_colour=yellow\nCell(K28)_old_all=?(????) <--Cell(E28)_new_colour=green\nCell(K29)_old_all=?(????) <--Cell(E29)_new_colour=red\nCell(K30)_old_all=?(????) <--Cell(E30)_new_colour=not-used\n***\nCell(K27)_old_all=?(????) <--Cell(E27)_new_number=1\nCell(K28)_old_all=?(????) <--Cell(E28)_new_number=2\nCell(K29)_old_all=?(????) <--Cell(E29)_new_number=1\nCell(K30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0\n***\nCell(K27)_old_all=?(????) <--Cell(E27)_new_letters=(d)\nCell(K28)_old_all=?(????) <--Cell(E28)_new_letters=(ab)\nCell(K29)_old_all=?(????) <--Cell(E29)_new_letters=(c)\nCell(K30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()\n\nScenario#11\nCell(Q27)_old_all=?(????) <--Cell(E27)_new_colour=yellow\nCell(Q28)_old_all=?(????) <--Cell(E28)_new_colour=green\nCell(Q29)_old_all=?(????) <--Cell(E29)_new_colour=red\nCell(Q30)_old_all=?(????) <--Cell(E30)_new_colour=not-used\n***\nCell(Q27)_old_all=?(????) <--Cell(E27)_new_number=1\nCell(Q28)_old_all=?(????) <--Cell(E28)_new_number=2\nCell(Q29)_old_all=?(????) <--Cell(E29)_new_number=1\nCell(Q30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0\n***\nCell(Q27)_old_all=?(????) <--Cell(E27)_new_letters=(c)\nCell(Q28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)\nCell(Q29)_old_all=?(????) <--Cell(E29)_new_letters=(b)\nCell(Q30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()\n\nScenario#12\nCell(W27)_old_all=?(????) <--Cell(E27)_new_colour=yellow\nCell(W28)_old_all=?(????) <--Cell(E28)_new_colour=blue\nCell(W29)_old_all=?(????) <--Cell(E29)_new_colour=green\nCell(W30)_old_all=?(????) <--Cell(E30)_new_colour=not-used\n***\nCell(W27)_old_all=?(????) <--Cell(E27)_new_number=1\nCell(W28)_old_all=?(????) <--Cell(E28)_new_number=2\nCell(W29)_old_all=?(????) <--Cell(E29)_new_number=1\nCell(W30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0\n***\nCell(W27)_old_all=?(????) <--Cell(E27)_new_letters=(a)\nCell(W28)_old_all=?(????) <--Cell(E28)_new_letters=(cd)\nCell(W29)_old_all=?(????) <--Cell(E29)_new_letters=(b)\nCell(W30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 119, "charcount": 2721}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_4
created: 2025-02-05 21:42:00.000000
modified: 2025-02-05 21:42:00.000000
subject: Re: Corrupted logistic robot
message:
Not correct!
In Scenario #9 (Experiment #1), the input is:

a = blue
b = yellow
c = red
d = blue

Since there is no green cube in the input, there is no doubt that green should not appear as the first output in this Scenario. In other words, with no green present, the only possible color for the first output (cell E27) is yellow this time.
The correct solution is:
Color Layer:
Cell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow
Cell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue
Cell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red
Cell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used
Number Layer:
Cell(E27)_old_all=?(????) <--Cell(E27)_new_number=1
Cell(E28)_old_all=?(????) <--Cell(E28)_new_number=2
Cell(E29)_old_all=?(????) <--Cell(E29)_new_number=1
Cell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0
Letters Layer:
Cell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)
Cell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)
Cell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)
Cell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()

raw_payload:
{"id": 164994, "discussion": 63498, "parent": 164960, "userid": 46671, "userfullname": "student_4", "created": "2025-02-05T21:42:00", "modified": "2025-02-05T21:42:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Not correct!\nIn Scenario\u00a0#9 (Experiment\u00a0#1), the input is:\n\na = blue\nb = yellow\nc = red\nd = blue\n\nSince there is no green cube in the input, there is no doubt that green should not appear as the first output in this Scenario. In other words, with no green present, the only possible color for the first output (cell E27) is yellow this time.\nThe correct solution is:\nColor Layer:\nCell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow\nCell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue\nCell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red\nCell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used\nNumber Layer:\nCell(E27)_old_all=?(????) <--Cell(E27)_new_number=1\nCell(E28)_old_all=?(????) <--Cell(E28)_new_number=2\nCell(E29)_old_all=?(????) <--Cell(E29)_new_number=1\nCell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0\nLetters Layer:\nCell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)\nCell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)\nCell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)\nCell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 102, "charcount": 978}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-05 22:09:00.000000
modified: 2025-02-05 22:09:00.000000
subject: Re: Corrupted logistic robot
message:
Is this scenario (#9) with the above-mentioned correct solution a relevant information unit for the further cases? (scenarios #10-11-12)

raw_payload:
{"id": 164995, "discussion": 63498, "parent": 164992, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-05T22:09:00", "modified": "2025-02-05T22:09:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Is this scenario (#9) with the above-mentioned correct solution a relevant information unit for the further cases? (scenarios #10-11-12)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 19, "charcount": 118}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-05 22:13:00.000000
modified: 2025-02-05 22:13:00.000000
subject: Re: Corrupted logistic robot
message:
Unfortunately, these solutions for the scenarios #10-11-12 are not acceptable: e.g. because of the 5-times declared rule (see scenarios #4-5-6-7-8): green cubes must definitely be placed to spot "A"! Each rule must be followed in any rate...

raw_payload:
{"id": 164996, "discussion": 63498, "parent": 164993, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-05T22:13:00", "modified": "2025-02-05T22:13:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Unfortunately, these solutions for the scenarios #10-11-12 are not acceptable: e.g. because of the 5-times declared rule (see scenarios #4-5-6-7-8): green cubes must definitely be placed to spot \"A\"! Each rule must be followed in any rate...", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 37, "charcount": 205}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-05 22:15:00.000000
modified: 2025-02-05 22:15:00.000000
subject: Re: Corrupted logistic robot
message:
Is this correct-interpreted scenario (#9) helpful for the further (unsolved) scenarios (see #10-11-12)?

raw_payload:
{"id": 164997, "discussion": 63498, "parent": 164994, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-05T22:15:00", "modified": "2025-02-05T22:15:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Is this correct-interpreted scenario (#9) helpful for the further (unsolved) scenarios (see #10-11-12)?", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 13, "charcount": 91}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_3
created: 2025-02-05 22:47:00.000000
modified: 2025-02-05 22:47:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
Answer for basic question: WRONG

There is no green, instead we have yellow, blue and red colors. According to the other scenarios, when there is no green, yellow takes place A, in this case Cell(E27). So, correct answer would looks like:

Cell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow
Cell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue
Cell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red
Cell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_number=1
Cell(E28)_old_all=?(????) <--Cell(E28)_new_number=2
Cell(E29)_old_all=?(????) <--Cell(E29)_new_number=1
Cell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)
Cell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(a)
Cell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)
Cell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=(d)

raw_payload:
{"id": 164998, "discussion": 63498, "parent": 164960, "userid": 46668, "userfullname": "student_3", "created": "2025-02-05T22:47:00", "modified": "2025-02-05T22:47:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "Answer for basic question: WRONG\n\nThere is no green, instead we have yellow, blue and red colors. According to the other scenarios, when there is no green, yellow takes place A, in this case Cell(E27). So, correct answer would looks like:\n\nCell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow\nCell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue\nCell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red\nCell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_number=1\nCell(E28)_old_all=?(????) <--Cell(E28)_new_number=2\nCell(E29)_old_all=?(????) <--Cell(E29)_new_number=1\nCell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)\nCell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(a)\nCell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)\nCell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=(d)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 67, "charcount": 850}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_5
created: 2025-02-05 22:54:00.000000
modified: 2025-02-05 22:59:00.000000
subject: Re: Corrupted logistic robot
message:
IF green is exclusive to ID A. Therefore, yellow cannot appear on ID A.

If the first test/scenario shows yellow on ID A, it must be an error or an exception that needs to be corrected.

By replacing yellow with green on ID A and assigning yellow to ID D, we ensure that all rules are followed.

raw_payload:
{"id": 164999, "discussion": 63498, "parent": 164989, "userid": 46666, "userfullname": "student_5", "created": "2025-02-05T22:54:00", "modified": "2025-02-05T22:59:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "IF green is exclusive to ID A. Therefore, yellow cannot appear on ID A.\n\nIf the first test/scenario\u00a0shows yellow on ID A, it must be an error or an exception that needs to be corrected.\n\nBy replacing yellow with green on ID A and assigning yellow to ID D, we ensure that all rules are followed.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 57, "charcount": 237}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_3
created: 2025-02-05 23:01:00.000000
modified: 2025-02-05 23:01:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
Rules based on observation on the TESTING_TASK1.XLSX and logistic robot's demo video:

Rule#1: The robot will pick one cube at a time.
Rule#2: The robot will only pick the cubes in the given order.
Rule#3: Based on the scenarios, GREEN cubes built on place-id "A", BLUE cubes on place-id "B" and RED cubes build on place-id "C".
Rule#4: Based on the scenario #1 and scenario #9 of the experiment #2 tables YELLOW cubes will build a tower on the place-id "A".

raw_payload:
{"id": 165000, "discussion": 63498, "parent": 164980, "userid": 46668, "userfullname": "student_3", "created": "2025-02-05T23:01:00", "modified": "2025-02-05T23:01:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "Rules based on observation on the TESTING_TASK1.XLSX and logistic robot's demo video:\n\nRule#1: The robot will pick one cube at a time.\nRule#2: The robot will only pick the cubes in the given order.\nRule#3: Based on the scenarios, GREEN cubes built on place-id \"A\", BLUE cubes on place-id \"B\" and RED cubes build on place-id \"C\".\nRule#4: Based on the scenario #1 and scenario #9 of the experiment #2 tables YELLOW cubes will build a tower on the place-id \"A\".", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 81, "charcount": 377}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_8
created: 2025-02-05 23:06:00.000000
modified: 2025-02-05 23:06:00.000000
subject: Re: Corrupted logistic robot
message:
In the rules 4 to 8 scenario, GREEN cube must be placed to spot "A". BLUE cube must be placed to spot "B", RED cube must be placed to spot "C" according to the rule 2 to 8. Each spot already occupied by the cubes except YELLOW cube. Logically, A for GREEN, B for BLUE, C for RED and there is one spot that empty. However, The rule of scenario 1, YELLOW cubes must be on spot "A", if YELLOW cube meet GREEN cube, Rule 1 cannot be followed due to Rule 4-8 scenario. So, if GREEN cube and YELLOW cubes matched, GREEN one MUST be on spot "A" and YELLOW one cannot be on neither "B" nor "C" spots, because of Rule 2-8 scenario they are already occupied by BLUE and RED cubes. Finally there is single spot that empty is "D" and we can put YELLOW cube to the spot "D".

Experiment#1, Scenario#10,11,12 answers according to the rules. 

Experiment#1 Scenario#10
Cell(K27)_old_all=?(????) <--Cell(K27)_new_colour=green
Cell(K28)_old_all=?(????) <--Cell(K28)_new_colour=not-used
Cell(K29)_old_all=?(????) <--Cell(K29)_new_colour=red
Cell(K30)_old_all=?(????) <--Cell(K30)_new_colour=yellow
***
Cell(K27)_old_all=?(????) <--Cell(K27)_new_number=2
Cell(K28)_old_all=?(????) <--Cell(K28)_new_number=not-used=0
Cell(K29)_old_all=?(????) <--Cell(K29)_new_number=1
Cell(K30)_old_all=?(????) <--Cell(K30)_new_number=1
***
Cell(K27)_old_all=?(????) <--Cell(K27)_new_letters=(ab)
Cell(K28)_old_all=?(????) <--Cell(K28)_new_letters=not-used=()
Cell(K29)_old_all=?(????) <--Cell(K29)_new_letters=(c)
Cell(K30)_old_all=?(????) <--Cell(K30)_new_letters=(d)
***
Scenario#11
***
Cell(Q27)_old_all=?(????) <--Cell(Q27)_new_colour=green
Cell(Q28)_old_all=?(????) <--Cell(Q28)_new_colour=not-used
Cell(Q29)_old_all=?(????) <--Cell(Q29)_new_colour=red
Cell(Q30)_old_all=?(????) <--Cell(Q30)_new_colour=yellow
***
Cell(Q27)_old_all=?(????) <--Cell(Q27)_new_number=2
Cell(Q28)_old_all=?(????) <--Cell(Q28)_new_number=not-used=0
Cell(Q29)_old_all=?(????) <--Cell(Q29)_new_number=1
Cell(Q30)_old_all=?(????) <--Cell(Q30)_new_number=1
***
Cell(Q27)_old_all=?(????) <--Cell(Q27)_new_letters=(ad)
Cell(Q28)_old_all=?(????) <--Cell(Q28)_new_letters=not-used=()
Cell(Q29)_old_all=?(????) <--Cell(Q29)_new_letters=(b)
Cell(Q30)_old_all=?(????) <--Cell(Q30)_new_letters=(c)
***
Scenario#12
***
Cell(W27)_old_all=?(????) <--Cell(W27)_new_colour=green
Cell(W28)_old_all=?(????) <--Cell(W28)_new_colour=blue
Cell(W29)_old_all=?(????) <--Cell(W29)_new_colour=not-used
Cell(W30)_old_all=?(????) <--Cell(W30)_new_colour=yellow
***
Cell(W27)_old_all=?(????) <--Cell(W27)_new_number=1
Cell(W28)_old_all=?(????) <--Cell(W28)_new_number=2
Cell(W29)_old_all=?(????) <--Cell(W29)_new_number=not-used=0
Cell(W30)_old_all=?(????) <--Cell(W30)_new_number=1
***
Cell(W27)_old_all=?(????) <--Cell(W27)_new_letters=(b)
Cell(W28)_old_all=?(????) <--Cell(W28)_new_letters=(cd)
Cell(W29)_old_all=?(????) <--Cell(W29)_new_letters=not-used=()
Cell(W30)_old_all=?(????) <--Cell(W30)_new_letters=(a)
***

raw_payload:
{"id": 165001, "discussion": 63498, "parent": 164995, "userid": 46674, "userfullname": "student_8", "created": "2025-02-05T23:06:00", "modified": "2025-02-05T23:06:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "In the rules 4 to 8 scenario, GREEN cube must be placed to spot \"A\". BLUE cube must be placed to spot \"B\", RED cube must be placed to spot \"C\" according to the rule 2 to 8. Each spot already occupied by the cubes except YELLOW cube. Logically, A for GREEN, B for BLUE, C for RED and there is one spot that empty. However, The rule of scenario 1, YELLOW cubes must be on spot \"A\", if YELLOW cube meet GREEN cube, Rule 1 cannot be followed due to Rule 4-8 scenario. So, if GREEN cube and YELLOW cubes matched, GREEN one MUST be on spot \"A\" and YELLOW one cannot be on neither \"B\" nor \"C\" spots, because of Rule 2-8 scenario they are already occupied by BLUE and RED cubes. Finally there is single spot that empty is \"D\" and we can put YELLOW cube to the spot \"D\".\n\nExperiment#1, Scenario#10,11,12 answers according to the rules. \n\nExperiment#1 Scenario#10\nCell(K27)_old_all=?(????) <--Cell(K27)_new_colour=green\nCell(K28)_old_all=?(????) <--Cell(K28)_new_colour=not-used\nCell(K29)_old_all=?(????) <--Cell(K29)_new_colour=red\nCell(K30)_old_all=?(????) <--Cell(K30)_new_colour=yellow\n***\nCell(K27)_old_all=?(????) <--Cell(K27)_new_number=2\nCell(K28)_old_all=?(????) <--Cell(K28)_new_number=not-used=0\nCell(K29)_old_all=?(????) <--Cell(K29)_new_number=1\nCell(K30)_old_all=?(????) <--Cell(K30)_new_number=1\n***\nCell(K27)_old_all=?(????) <--Cell(K27)_new_letters=(ab)\nCell(K28)_old_all=?(????) <--Cell(K28)_new_letters=not-used=()\nCell(K29)_old_all=?(????) <--Cell(K29)_new_letters=(c)\nCell(K30)_old_all=?(????) <--Cell(K30)_new_letters=(d)\n***\nScenario#11\n***\nCell(Q27)_old_all=?(????) <--Cell(Q27)_new_colour=green\nCell(Q28)_old_all=?(????) <--Cell(Q28)_new_colour=not-used\nCell(Q29)_old_all=?(????) <--Cell(Q29)_new_colour=red\nCell(Q30)_old_all=?(????) <--Cell(Q30)_new_colour=yellow\n***\nCell(Q27)_old_all=?(????) <--Cell(Q27)_new_number=2\nCell(Q28)_old_all=?(????) <--Cell(Q28)_new_number=not-used=0\nCell(Q29)_old_all=?(????) <--Cell(Q29)_new_number=1\nCell(Q30)_old_all=?(????) <--Cell(Q30)_new_number=1\n***\nCell(Q27)_old_all=?(????) <--Cell(Q27)_new_letters=(ad)\nCell(Q28)_old_all=?(????) <--Cell(Q28)_new_letters=not-used=()\nCell(Q29)_old_all=?(????) <--Cell(Q29)_new_letters=(b)\nCell(Q30)_old_all=?(????) <--Cell(Q30)_new_letters=(c)\n***\nScenario#12\n***\nCell(W27)_old_all=?(????) <--Cell(W27)_new_colour=green\nCell(W28)_old_all=?(????) <--Cell(W28)_new_colour=blue\nCell(W29)_old_all=?(????) <--Cell(W29)_new_colour=not-used\nCell(W30)_old_all=?(????) <--Cell(W30)_new_colour=yellow\n***\nCell(W27)_old_all=?(????) <--Cell(W27)_new_number=1\nCell(W28)_old_all=?(????) <--Cell(W28)_new_number=2\nCell(W29)_old_all=?(????) <--Cell(W29)_new_number=not-used=0\nCell(W30)_old_all=?(????) <--Cell(W30)_new_number=1\n***\nCell(W27)_old_all=?(????) <--Cell(W27)_new_letters=(b)\nCell(W28)_old_all=?(????) <--Cell(W28)_new_letters=(cd)\nCell(W29)_old_all=?(????) <--Cell(W29)_new_letters=not-used=()\nCell(W30)_old_all=?(????) <--Cell(W30)_new_letters=(a)\n***", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 247, "charcount": 2689}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_5
created: 2025-02-05 23:12:00.000000
modified: 2025-02-05 23:20:00.000000
subject: Re: Corrupted logistic robot
message:
Green is exclusive to ID A for smaller towers (1-3 cubes).

Yellow is exclusive to ID A for larger towers (4 cubes) when all inputs are the same color.

This means:

If the input cubes are different colors, the system builds smaller towers, and green is used for ID A.

If the input cubes are the same color, the system builds larger towers, and yellow is used for ID A.

Since IDs  can only have one colored  tower at a time, the system must choose between green and yellow based on the input colors.

If the inputs are different colors, use green for ID A.

If the inputs are the same color, use yellow for ID A.Or yellow is on ID A if there no green in input :-)

raw_payload:
{"id": 165002, "discussion": 63498, "parent": 164999, "userid": 46666, "userfullname": "student_5", "created": "2025-02-05T23:12:00", "modified": "2025-02-05T23:20:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Green is exclusive to ID A for smaller towers (1-3 cubes).\n\nYellow is exclusive to ID A for larger towers (4 cubes) when all inputs are the same color.\n\nThis means:\n\nIf the input cubes are different colors, the system builds smaller towers, and green is used for ID A.\n\nIf the input cubes are the same color, the system builds larger towers, and yellow is used for ID A.\n\nSince IDs  can only have one colored  tower at a time, the system must choose between green and yellow based on the input colors.\n\nIf the inputs are different colors, use green for ID A.\n\nIf the inputs are the same color, use yellow for ID A.Or yellow is on ID A if there no green in input :-)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 130, "charcount": 528}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_3
created: 2025-02-05 23:13:00.000000
modified: 2025-02-05 23:13:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
Based on the above rules that I have drawn from my observations, I solved the scenarios #10, #11 and #12

raw_payload:
{"id": 165003, "discussion": 63498, "parent": 165000, "userid": 46668, "userfullname": "student_3", "created": "2025-02-05T23:13:00", "modified": "2025-02-05T23:13:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "Based on the above rules that I have drawn from my observations, I solved the scenarios #10, #11 and #12", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 20, "charcount": 85}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_10
created: 2025-02-05 23:22:00.000000
modified: 2025-02-05 23:22:00.000000
subject: Re: Corrupted logistic robot
message:
So, If yellow and green must be placed to spot "A" for example experiment#1 scenario1-8 and experiment#2 scenario 1-8, So both of them must be placed to spot "A". Can we stack green and yellow on spot "A", according to the rules it does not break any rules, there is not rules about 2 different colors cannot stack on each other.
Scenario#10
Cell(K27)_old_all=?(????) <--Cell(E27)_new_colour=green,yellow
Cell(K28)_old_all=?(????) <--Cell(E28)_new_colour=not-used
Cell(K29)_old_all=?(????) <--Cell(E29)_new_colour=red
Cell(K30)_old_all=?(????) <--Cell(E30)_new_colour=not-used
***
Cell(K27)_old_all=?(????) <--Cell(E27)_new_number=3
Cell(K28)_old_all=?(????) <--Cell(E28)_new_number=not-used=0
Cell(K29)_old_all=?(????) <--Cell(E29)_new_number=1
Cell(K30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0
***
Cell(K27)_old_all=?(????) <--Cell(E27)_new_letters=(acd)
Cell(K28)_old_all=?(????) <--Cell(E28)_new_letters=not-used=()
Cell(K29)_old_all=?(????) <--Cell(E29)_new_letters=(c)
Cell(K30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()

Scenario#11
Cell(Q27)_old_all=?(????) <--Cell(E27)_new_colour=green,yellow
Cell(Q28)_old_all=?(????) <--Cell(E28)_new_colour=not-used
Cell(Q29)_old_all=?(????) <--Cell(E29)_new_colour=red
Cell(Q30)_old_all=?(????) <--Cell(E30)_new_colour=not-used
***
Cell(Q27)_old_all=?(????) <--Cell(E27)_new_number=3
Cell(Q28)_old_all=?(????) <--Cell(E28)_new_number=not-used=0
Cell(Q29)_old_all=?(????) <--Cell(E29)_new_number=1
Cell(Q30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0
***
Cell(Q27)_old_all=?(????) <--Cell(E27)_new_letters=(acd)
Cell(Q28)_old_all=?(????) <--Cell(E28)_new_letters=not-used=()
Cell(Q29)_old_all=?(????) <--Cell(E29)_new_letters=(b)
Cell(Q30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()

Scenario#12
Cell(W27)_old_all=?(????) <--Cell(E27)_new_colour=yellow,green
Cell(W28)_old_all=?(????) <--Cell(E28)_new_colour=blue
Cell(W29)_old_all=?(????) <--Cell(E29)_new_colour=not-used
Cell(W30)_old_all=?(????) <--Cell(E30)_new_colour=not-used
***
Cell(W27)_old_all=?(????) <--Cell(E27)_new_number=2
Cell(W28)_old_all=?(????) <--Cell(E28)_new_number=2
Cell(W29)_old_all=?(????) <--Cell(E29)_new_number=not-used=0
Cell(W30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0
***
Cell(W27)_old_all=?(????) <--Cell(E27)_new_letters=(ab)
Cell(W28)_old_all=?(????) <--Cell(E28)_new_letters=(cd)
Cell(W29)_old_all=?(????) <--Cell(E29)_new_letters=not-used=()
Cell(W30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()

raw_payload:
{"id": 165004, "discussion": 63498, "parent": 164996, "userid": 46677, "userfullname": "student_10", "created": "2025-02-05T23:22:00", "modified": "2025-02-05T23:22:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "So, If yellow and green must be placed to spot \"A\" for example experiment#1 scenario1-8 and experiment#2 scenario 1-8, So both of them must be placed to spot \"A\". Can we stack green and yellow on spot \"A\", according to the rules it does not break any rules, there is not rules about 2 different colors cannot stack on each other.\nScenario#10\nCell(K27)_old_all=?(????) <--Cell(E27)_new_colour=green,yellow\nCell(K28)_old_all=?(????) <--Cell(E28)_new_colour=not-used\nCell(K29)_old_all=?(????) <--Cell(E29)_new_colour=red\nCell(K30)_old_all=?(????) <--Cell(E30)_new_colour=not-used\n***\nCell(K27)_old_all=?(????) <--Cell(E27)_new_number=3\nCell(K28)_old_all=?(????) <--Cell(E28)_new_number=not-used=0\nCell(K29)_old_all=?(????) <--Cell(E29)_new_number=1\nCell(K30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0\n***\nCell(K27)_old_all=?(????) <--Cell(E27)_new_letters=(acd)\nCell(K28)_old_all=?(????) <--Cell(E28)_new_letters=not-used=()\nCell(K29)_old_all=?(????) <--Cell(E29)_new_letters=(c)\nCell(K30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()\n\nScenario#11\nCell(Q27)_old_all=?(????) <--Cell(E27)_new_colour=green,yellow\nCell(Q28)_old_all=?(????) <--Cell(E28)_new_colour=not-used\nCell(Q29)_old_all=?(????) <--Cell(E29)_new_colour=red\nCell(Q30)_old_all=?(????) <--Cell(E30)_new_colour=not-used\n***\nCell(Q27)_old_all=?(????) <--Cell(E27)_new_number=3\nCell(Q28)_old_all=?(????) <--Cell(E28)_new_number=not-used=0\nCell(Q29)_old_all=?(????) <--Cell(E29)_new_number=1\nCell(Q30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0\n***\nCell(Q27)_old_all=?(????) <--Cell(E27)_new_letters=(acd)\nCell(Q28)_old_all=?(????) <--Cell(E28)_new_letters=not-used=()\nCell(Q29)_old_all=?(????) <--Cell(E29)_new_letters=(b)\nCell(Q30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()\n\nScenario#12\nCell(W27)_old_all=?(????) <--Cell(E27)_new_colour=yellow,green\nCell(W28)_old_all=?(????) <--Cell(E28)_new_colour=blue\nCell(W29)_old_all=?(????) <--Cell(E29)_new_colour=not-used\nCell(W30)_old_all=?(????) <--Cell(E30)_new_colour=not-used\n***\nCell(W27)_old_all=?(????) <--Cell(E27)_new_number=2\nCell(W28)_old_all=?(????) <--Cell(E28)_new_number=2\nCell(W29)_old_all=?(????) <--Cell(E29)_new_number=not-used=0\nCell(W30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0\n***\nCell(W27)_old_all=?(????) <--Cell(E27)_new_letters=(ab)\nCell(W28)_old_all=?(????) <--Cell(E28)_new_letters=(cd)\nCell(W29)_old_all=?(????) <--Cell(E29)_new_letters=not-used=()\nCell(W30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 142, "charcount": 2346}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_22
created: 2025-02-05 23:27:00.000000
modified: 2025-02-05 23:27:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
It is correct except for the first row. We don't have a green cube, so green which is in the first row should be replaced with yellow.

Cell(E27)_old_all = ? (????) <-- Cell(E27)_new_color = yellow
Cell(E28)_old_all = ? (????) <-- Cell(E28)_new_color = blue
Cell(E29)_old_all = ? (????) <-- Cell(E29)_new_color = red
Cell(E30)_old_all = ? (????) <-- Cell(E30)_new_color = not used.

raw_payload:
{"id": 165005, "discussion": 63498, "parent": 164960, "userid": 46680, "userfullname": "student_22", "created": "2025-02-05T23:27:00", "modified": "2025-02-05T23:27:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "It is correct except for the first row. We don't have a green cube, so green which is in the first row should be replaced with yellow.\n\nCell(E27)_old_all = ? (????) <-- Cell(E27)_new_color = yellow\nCell(E28)_old_all = ? (????) <-- Cell(E28)_new_color = blue\nCell(E29)_old_all = ? (????) <-- Cell(E29)_new_color = red\nCell(E30)_old_all = ? (????) <-- Cell(E30)_new_color = not used.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 60, "charcount": 321}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 07:48:00.000000
modified: 2025-02-06 07:48:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
Cell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=(d) <--Why is this particular definition wrong? Please, deliver argumentations based on the entire documentation here!

raw_payload:
{"id": 165006, "discussion": 63498, "parent": 164998, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T07:48:00", "modified": "2025-02-06T07:48:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "Cell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=(d) <--Why is this particular definition wrong? Please, deliver argumentations based on the entire documentation here!", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 17, "charcount": 162}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 07:53:00.000000
modified: 2025-02-06 07:53:00.000000
subject: Re: Corrupted logistic robot
message:
IF green is exclusive to ID A. Therefore, yellow cannot appear on ID A.<--this declaration is wrong, if each scenario (#1-2-3-4-5-6-7-8) and its results should be accepted for ever! Yellow cubes do appear in ID A (see scenario #1). <--There is no error, there is no exception! The facts (scenarios #1-2-3-4-5-6-7-8) must be accepted as facts. The ancient and unfortunatelly the modern "science" try to interpret the world so, that a lot of facts are excluded in order to have a nive therory... :-) But this process is not to follow in general...

raw_payload:
{"id": 165007, "discussion": 63498, "parent": 164999, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T07:53:00", "modified": "2025-02-06T07:53:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "IF green is exclusive to ID A. Therefore, yellow cannot appear on ID A.<--this declaration is wrong, if each scenario (#1-2-3-4-5-6-7-8) and its results should be accepted for ever! Yellow cubes do appear in ID A (see scenario #1). <--There is no error, there is no exception! The facts (scenarios #1-2-3-4-5-6-7-8) must be accepted as facts. The ancient and unfortunatelly the modern \"science\" try to interpret the world so, that a lot of facts are excluded in order to have a nive therory... :-) But this process is not to follow in general...", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 93, "charcount": 453}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 08:23:00.000000
modified: 2025-02-06 08:23:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
Rule#1-2 = logistic rule and not a logical rule about the process logic behing the logistic...
Rule#3 = it is more rules parallel: #3a for green cubes, #3b for blue cubes, #3c for red cubes, BUT the #3b and #3c are more strong than #3a! Why? Please, use the mirroring technique: the opposite declaration should also be interpreted (e.g. there are positive scenarios for #3b and there is no scenario with opposite conclusions/risk potentials)...
(Experiment #2 is in this moment quasi still not existing:-)

raw_payload:
{"id": 165008, "discussion": 63498, "parent": 165000, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T08:23:00", "modified": "2025-02-06T08:23:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "Rule#1-2 = logistic rule and not a logical rule about the process logic behing the logistic...\nRule#3 = it is more rules parallel: #3a for green cubes, #3b for blue cubes, #3c for red cubes, BUT the #3b and #3c are more strong than #3a! Why? Please, use the mirroring technique: the opposite declaration should also be interpreted (e.g. there are positive scenarios for #3b and there is no scenario with opposite conclusions/risk potentials)...\n(Experiment #2 is in this moment quasi still not existing:-)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 84, "charcount": 422}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 08:33:00.000000
modified: 2025-02-06 08:33:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
https://moodle.kodolanyi.hu/pluginfile.php/444774/mod_forum/attachment/165003/testing_task1%20-%20Amin-Erdene.xlsx?forcedownload=1 <--WOW! 
+
https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p164988 <-- see first sentence (Each slot should hold blocks of one color only.)<--Important declarion - but true or wrong compared of the above-highlighted WOW-XLSX?
Who is finally capable of seeing the expected complexity with the expected clarity?!
What is the hermeneutical trap in the definition of this task (see: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p164960)
(((BTW: such kind of logical constructions will later be necessary, when you are writing the final thesis, especially the chapter about the literature behind your thesis-title...)))

raw_payload:
{"id": 165010, "discussion": 63498, "parent": 165003, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T08:33:00", "modified": "2025-02-06T08:33:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "https://moodle.kodolanyi.hu/pluginfile.php/444774/mod_forum/attachment/165003/testing_task1%20-%20Amin-Erdene.xlsx?forcedownload=1 <--WOW! \n+\nhttps://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p164988 <-- see first sentence (Each slot should hold blocks of one color only.)<--Important declarion - but true or wrong compared of the above-highlighted WOW-XLSX?\nWho is finally capable of seeing the expected complexity with the expected clarity?!\nWhat is the hermeneutical trap in the definition of this task (see: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p164960)\n(((BTW: such kind of logical constructions will later be necessary, when you are writing the final thesis, especially the chapter about the literature behind your thesis-title...)))", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 80, "charcount": 688}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 08:37:00.000000
modified: 2025-02-06 08:37:00.000000
subject: Re: Corrupted logistic robot
message:
if YELLOW cube meet GREEN cube, Rule 1 cannot be followed due to Rule 4-8 scenario. <-- wrong association (wrong solutions for #10-11-12). See: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165010
The rule of the scenario#1 must be followed for ever...

raw_payload:
{"id": 165011, "discussion": 63498, "parent": 165001, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T08:37:00", "modified": "2025-02-06T08:37:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "if YELLOW cube meet GREEN cube, Rule 1 cannot be followed due to Rule 4-8 scenario. <-- wrong association (wrong solutions for #10-11-12). See: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165010\nThe rule of the scenario#1 must be followed for ever...", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 35, "charcount": 231}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 08:42:00.000000
modified: 2025-02-06 08:42:00.000000
subject: Re: Corrupted logistic robot
message:
Interesting approach: but it can not be accepted! The robot does not have any information units about ALL cubes before starting with the tower-building-process! The count of the cubes having the same colour is an information unit, but never existing in this system - we observers can interpret such a phenonemon (count) - later (after closing a scenario). The robot will never know, how many cubes will still be set into the process and/or when is a process closed at all... :-)

raw_payload:
{"id": 165012, "discussion": 63498, "parent": 165002, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T08:42:00", "modified": "2025-02-06T08:42:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Interesting approach: but it can not be accepted! The robot does not have any information units about ALL cubes before starting with the tower-building-process! The count of the cubes having the same colour is an information unit, but never existing in this system - we observers can interpret such a phenonemon (count) - later (after closing a scenario). The robot will never know, how many cubes will still be set into the process and/or when is a process closed at all... :-)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 82, "charcount": 397}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 08:44:00.000000
modified: 2025-02-06 08:44:00.000000
subject: Re: Corrupted logistic robot
message:
So, If yellow and green must be placed to spot "A" for example experiment#1 scenario1-8 and experiment#2 scenario 1-8, So both of them must be placed to spot "A". Can we stack green and yellow on spot "A", according to the rules it does not break any rules, there is not rules about 2 different colors cannot stack on each other. <--WOW (still see: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165010)

raw_payload:
{"id": 165013, "discussion": 63498, "parent": 165004, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T08:44:00", "modified": "2025-02-06T08:44:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "So, If yellow and green must be placed to spot \"A\" for example experiment#1 scenario1-8 and experiment#2 scenario 1-8, So both of them must be placed to spot \"A\". Can we stack green and yellow on spot \"A\", according to the rules it does not break any rules, there is not rules about 2 different colors cannot stack on each other. <--WOW (still see: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165010)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 65, "charcount": 351}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 08:46:00.000000
modified: 2025-02-06 08:46:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
It is worth to read all previous entries! :-) 
Especially: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165013
Go, please, from this link backward!

raw_payload:
{"id": 165014, "discussion": 63498, "parent": 165005, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T08:46:00", "modified": "2025-02-06T08:46:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "It is worth to read all previous entries! :-) \nEspecially: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165013\nGo, please, from this link backward!", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 17, "charcount": 144}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_6
created: 2025-02-06 09:49:00.000000
modified: 2025-02-06 09:49:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
The system takes input values (e.g., a, b, c, d) and determines the number and color of the cubes.

The output is organized into towers, following a fixed color order:
1st place: Green and Yellow cubes
2nd place: Blue cubes
3rd place: Red cubes

The output format is ?(????), where:
The "?" is replaced by the number of cubes of that color.
The brackets contain the corresponding input values for that color.

If there are multiple cubes of the same color, they are stacked on top of each other (e.g., if there are 2 green cubes, the first place will show "2Green").

raw_payload:
{"id": 165015, "discussion": 63498, "parent": 164984, "userid": 47139, "userfullname": "student_6", "created": "2025-02-06T09:49:00", "modified": "2025-02-06T09:49:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "The system takes input values (e.g., a, b, c, d) and determines the number and color of the cubes.\n\nThe output is organized into towers, following a fixed color order:\n1st place: Green and Yellow cubes\n2nd place: Blue cubes\n3rd place: Red cubes\n\nThe output format is ?(????), where:\nThe \"?\" is replaced by the number of cubes of that color.\nThe brackets contain the corresponding input values for that color.\n\nIf there are multiple cubes of the same color, they are stacked on top of each other (e.g., if there are 2 green cubes, the first place will show \"2Green\").", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 102, "charcount": 462}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 10:16:00.000000
modified: 2025-02-06 10:16:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
What is the conclusion based on these declarations concerning the scenarios #10-11-12! The KNUTH-principle says: knowledge/science is, what can be transformed/transferred/translated/transscripted into source codes = what can be used for operative steps in an objective/consistent/consequent way...

raw_payload:
{"id": 165016, "discussion": 63498, "parent": 165015, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T10:16:00", "modified": "2025-02-06T10:16:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "What is the conclusion based on these declarations concerning the scenarios #10-11-12! The KNUTH-principle says: knowledge/science is, what can be transformed/transferred/translated/transscripted into source codes = what can be used for operative steps in an objective/consistent/consequent way...", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 36, "charcount": 262}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_6
created: 2025-02-06 10:21:00.000000
modified: 2025-02-06 10:21:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message: This is very good!
raw_payload:
{"id": 165018, "discussion": 63498, "parent": 165003, "userid": 47139, "userfullname": "student_6", "created": "2025-02-06T10:21:00", "modified": "2025-02-06T10:21:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "This is very good!", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 4, "charcount": 15}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 10:40:00.000000
modified: 2025-02-06 10:40:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message: Please, always try to use the "very-good-materials" for the next step of the concluding process...
raw_payload:
{"id": 165019, "discussion": 63498, "parent": 165018, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T10:40:00", "modified": "2025-02-06T10:40:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "Please, always try to use the \"very-good-materials\" for the next step of the concluding process...", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 15, "charcount": 84}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 14:24:00.000000
modified: 2025-02-06 14:24:00.000000
subject: Re: Corrupted logistic robot
message:
New task: please, try to create a rel. small, but complex prompt for the ChatGPT and/or Copilot, etc. in order to involve it into this project. This task has two layers: what is a good prompt? Parallel: how good is the interpretation potential of ChatGPT/Copilot/etc. - in caseof a good prompt!

raw_payload:
{"id": 165020, "discussion": 63498, "parent": 164960, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T14:24:00", "modified": "2025-02-06T14:24:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "New task: please, try to create a rel. small, but complex prompt for the ChatGPT and/or Copilot, etc. in order to involve it into this project. This task has two layers: what is a good prompt? Parallel: how good is the interpretation potential of ChatGPT/Copilot/etc. - in caseof a good prompt!", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 51, "charcount": 244}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_8
created: 2025-02-06 16:44:00.000000
modified: 2025-02-06 16:44:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
According to all scenario rules, there is not any rules about not stacking different color. It seems bit tricky but, in logically, robot can put one cube in the spot at time in order. So, in scenario 10, green block must be on the spot A firstly twice before the yellow one. In scenario 11, green, yellow and green again in order. In the scenario 12, green one is placed after yellow in order. 

Here are the correct answers following all the rules in scenario 1 to 8.

Experiment#1, Scenario#10,11,12 answers according to the rules.

Experiment#1 Scenario#10
Cell(K27)_old_all=?(????) <--Cell(K27)_new_colour=green, yellow
Cell(K28)_old_all=?(????) <--Cell(K28)_new_colour=not-used
Cell(K29)_old_all=?(????) <--Cell(K29)_new_colour=red
Cell(K30)_old_all=?(????) <--Cell(K30)_new_colour=not used
***
Cell(K27)_old_all=?(????) <--Cell(K27)_new_number=3
Cell(K28)_old_all=?(????) <--Cell(K28)_new_number=not-used=0
Cell(K29)_old_all=?(????) <--Cell(K29)_new_number=1
Cell(K30)_old_all=?(????) <--Cell(K30)_new_number=not-used=0
***
Cell(K27)_old_all=?(????) <--Cell(K27)_new_letters=(abd)
Cell(K28)_old_all=?(????) <--Cell(K28)_new_letters=not-used=()
Cell(K29)_old_all=?(????) <--Cell(K29)_new_letters=(c)
Cell(K30)_old_all=?(????) <--Cell(K30)_new_letters=not-used=()
***
Scenario#11
***
Cell(Q27)_old_all=?(????) <--Cell(Q27)_new_colour=green, yellow
Cell(Q28)_old_all=?(????) <--Cell(Q28)_new_colour=not-used
Cell(Q29)_old_all=?(????) <--Cell(Q29)_new_colour=red
Cell(Q30)_old_all=?(????) <--Cell(Q30)_new_colour=not-used
***
Cell(Q27)_old_all=?(????) <--Cell(Q27)_new_number=3
Cell(Q28)_old_all=?(????) <--Cell(Q28)_new_number=not-used=0
Cell(Q29)_old_all=?(????) <--Cell(Q29)_new_number=1
Cell(Q30)_old_all=?(????) <--Cell(Q30)_new_number=not-used=0
***
Cell(Q27)_old_all=?(????) <--Cell(Q27)_new_letters=(acd)
Cell(Q28)_old_all=?(????) <--Cell(Q28)_new_letters=not-used=()
Cell(Q29)_old_all=?(????) <--Cell(Q29)_new_letters=(b)
Cell(Q30)_old_all=?(????) <--Cell(Q30)_new_letters=not-used=()
***
Scenario#12
***
Cell(W27)_old_all=?(????) <--Cell(W27)_new_colour=yellow, green
Cell(W28)_old_all=?(????) <--Cell(W28)_new_colour=blue
Cell(W29)_old_all=?(????) <--Cell(W29)_new_colour=not-used
Cell(W30)_old_all=?(????) <--Cell(W30)_new_colour=not-used
***
Cell(W27)_old_all=?(????) <--Cell(W27)_new_number=2
Cell(W28)_old_all=?(????) <--Cell(W28)_new_number=2
Cell(W29)_old_all=?(????) <--Cell(W29)_new_number=not-used=0
Cell(W30)_old_all=?(????) <--Cell(W30)_new_number=not-used=0
***
Cell(W27)_old_all=?(????) <--Cell(W27)_new_letters=(ab)
Cell(W28)_old_all=?(????) <--Cell(W28)_new_letters=(cd)
Cell(W29)_old_all=?(????) <--Cell(W29)_new_letters=not-used=()
Cell(W30)_old_all=?(????) <--Cell(W30)_new_letters=not-used=()
***

raw_payload:
{"id": 165021, "discussion": 63498, "parent": 165011, "userid": 46674, "userfullname": "student_8", "created": "2025-02-06T16:44:00", "modified": "2025-02-06T16:44:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "According to all scenario rules, there is not any rules about not stacking different color. It seems bit tricky but, in logically, robot can put one cube in the spot at time in order. So, in scenario 10, green block must be on the spot A firstly twice before the yellow one. In scenario 11, green, yellow and green again in order. In the scenario 12, green one is placed after yellow in order. \n\nHere are the correct answers following all the rules in scenario 1 to 8.\n\nExperiment#1, Scenario#10,11,12 answers according to the rules.\n\nExperiment#1 Scenario#10\nCell(K27)_old_all=?(????) <--Cell(K27)_new_colour=green, yellow\nCell(K28)_old_all=?(????) <--Cell(K28)_new_colour=not-used\nCell(K29)_old_all=?(????) <--Cell(K29)_new_colour=red\nCell(K30)_old_all=?(????) <--Cell(K30)_new_colour=not used\n***\nCell(K27)_old_all=?(????) <--Cell(K27)_new_number=3\nCell(K28)_old_all=?(????) <--Cell(K28)_new_number=not-used=0\nCell(K29)_old_all=?(????) <--Cell(K29)_new_number=1\nCell(K30)_old_all=?(????) <--Cell(K30)_new_number=not-used=0\n***\nCell(K27)_old_all=?(????) <--Cell(K27)_new_letters=(abd)\nCell(K28)_old_all=?(????) <--Cell(K28)_new_letters=not-used=()\nCell(K29)_old_all=?(????) <--Cell(K29)_new_letters=(c)\nCell(K30)_old_all=?(????) <--Cell(K30)_new_letters=not-used=()\n***\nScenario#11\n***\nCell(Q27)_old_all=?(????) <--Cell(Q27)_new_colour=green, yellow\nCell(Q28)_old_all=?(????) <--Cell(Q28)_new_colour=not-used\nCell(Q29)_old_all=?(????) <--Cell(Q29)_new_colour=red\nCell(Q30)_old_all=?(????) <--Cell(Q30)_new_colour=not-used\n***\nCell(Q27)_old_all=?(????) <--Cell(Q27)_new_number=3\nCell(Q28)_old_all=?(????) <--Cell(Q28)_new_number=not-used=0\nCell(Q29)_old_all=?(????) <--Cell(Q29)_new_number=1\nCell(Q30)_old_all=?(????) <--Cell(Q30)_new_number=not-used=0\n***\nCell(Q27)_old_all=?(????) <--Cell(Q27)_new_letters=(acd)\nCell(Q28)_old_all=?(????) <--Cell(Q28)_new_letters=not-used=()\nCell(Q29)_old_all=?(????) <--Cell(Q29)_new_letters=(b)\nCell(Q30)_old_all=?(????) <--Cell(Q30)_new_letters=not-used=()\n***\nScenario#12\n***\nCell(W27)_old_all=?(????) <--Cell(W27)_new_colour=yellow, green\nCell(W28)_old_all=?(????) <--Cell(W28)_new_colour=blue\nCell(W29)_old_all=?(????) <--Cell(W29)_new_colour=not-used\nCell(W30)_old_all=?(????) <--Cell(W30)_new_colour=not-used\n***\nCell(W27)_old_all=?(????) <--Cell(W27)_new_number=2\nCell(W28)_old_all=?(????) <--Cell(W28)_new_number=2\nCell(W29)_old_all=?(????) <--Cell(W29)_new_number=not-used=0\nCell(W30)_old_all=?(????) <--Cell(W30)_new_number=not-used=0\n***\nCell(W27)_old_all=?(????) <--Cell(W27)_new_letters=(ab)\nCell(W28)_old_all=?(????) <--Cell(W28)_new_letters=(cd)\nCell(W29)_old_all=?(????) <--Cell(W29)_new_letters=not-used=()\nCell(W30)_old_all=?(????) <--Cell(W30)_new_letters=not-used=()\n***", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 186, "charcount": 2539}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 17:04:00.000000
modified: 2025-02-06 17:04:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
WOW! What can we identify as hermeneutical trap in the definition of this entire task? Why are a lot of wrong solutions/interpretations? How should have been formulated this task as such in order to minimize the misunderstanding potential of this task?

raw_payload:
{"id": 165022, "discussion": 63498, "parent": 165021, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T17:04:00", "modified": "2025-02-06T17:04:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "WOW! What can we identify as hermeneutical trap in the definition of this entire task? Why are a lot of wrong solutions/interpretations? How should have been formulated this task as such in order to minimize the misunderstanding potential of this task?", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 41, "charcount": 212}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_20
created: 2025-02-06 18:24:00.000000
modified: 2025-02-06 18:24:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
We assumed each slot could hold only one color, ignoring the possibility of stacking. This is a hermeneutical trap a thinking error where our biases (like assuming "one color, one slot") blind us to simpler logic. The robot logic worked correctly; the problem was our false interpretation.
Hermeneutical traps happen when we force our beliefs onto situations instead of seeking the real explanation. 

I can see/experience that biases distort understanding. Always test assumptions against evidence.

to minimize the potential misunderstanding of this task, we can state the rules explicitly.
e.g. Multiple colors can occupy the same slot.

raw_payload:
{"id": 165023, "discussion": 63498, "parent": 165022, "userid": 46675, "userfullname": "student_20", "created": "2025-02-06T18:24:00", "modified": "2025-02-06T18:24:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "We assumed each slot could hold only one color, ignoring the possibility of stacking. This is a hermeneutical trap a thinking error where our biases (like assuming \"one color, one slot\") blind us to simpler logic. The robot logic worked correctly; the problem was our false interpretation.\nHermeneutical traps happen when we force our beliefs onto situations instead of seeking the real explanation. \n\nI can see/experience that biases distort understanding. Always test assumptions against evidence.\n\nto minimize the potential misunderstanding of this task, we can state the rules explicitly.\ne.g. Multiple colors can occupy the same slot.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 97, "charcount": 540}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_21
created: 2025-02-06 18:41:00.000000
modified: 2025-02-06 18:41:00.000000
subject: Re: Corrupted logistic robot
message:
The basic question answer is: Incorrect.

Reason:
In Experiment #1, Scenario #9, there is no green color present in the "Input9" column. This means that the first solution layer is incorrect, specifically:
Cell(E27)_old_all=?(????) ← Cell(E27)_new_colour=green.

The correct answer:
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow
Cell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue
Cell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red
Cell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_number=1
Cell(E28)_old_all=?(????) <--Cell(E28)_new_number=2
Cell(E29)_old_all=?(????) <--Cell(E29)_new_number=1
Cell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)
Cell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)
Cell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)
Cell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()
***

raw_payload:
{"id": 165024, "discussion": 63498, "parent": 164960, "userid": 46682, "userfullname": "student_21", "created": "2025-02-06T18:41:00", "modified": "2025-02-06T18:41:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "The basic question answer is: Incorrect.\n\nReason:\nIn Experiment #1, Scenario #9, there is no green color present in the \"Input9\" column. This means that the first solution layer is incorrect, specifically:\nCell(E27)_old_all=?(????) \u2190 Cell(E27)_new_colour=green.\n\nThe correct answer:\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow\nCell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue\nCell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red\nCell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_number=1\nCell(E28)_old_all=?(????) <--Cell(E28)_new_number=2\nCell(E29)_old_all=?(????) <--Cell(E29)_new_number=1\nCell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)\nCell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)\nCell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)\nCell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()\n***", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 66, "charcount": 902}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_4
created: 2025-02-06 18:54:00.000000
modified: 2025-02-06 18:54:00.000000
subject: Re: Corrupted logistic robot
message:
Summary of the Rules (IN031: Corrupted logistic robot | KJE Moodle + IN031: Corrupted logistic robot | KJE Moodle)Logistic Rules:The robot picks one cube at a time.The robot processes cubes in their given order on the conveyor belt.Color (Logical) Rules:3. Color Assignment (Parallel):GREEN cubes → place-id "A" (Rule #3a)BLUE cubes → place-id "B" (Rule #3b, stronger)RED cubes → place-id "C" (Rule #3c, stronger)The mirroring technique confirms that deviations from the blue and red assignments would lead to risk scenarios that are not observed.Exception for YELLOW Cubes:When there is no green input, YELLOW cubes are built in place-id "A" (as observed in Scenario #1 and Scenario #9).The assumption that each slot should contain only one color is false. In earlier scenarios, it seemed true, but in Scenario #12, multiple colors appear in the same slot.

This reveals the hermeneutical trap—we assumed a more complex rule than necessary. The correct rule is that green always goes to slot A if present, and the other colors shift accordingly. Towers are not strictly limited to one color per slot; multiple towers can appear in the same slot when needed. (IN031: Corrupted logistic robot | KJE Moodle)

raw_payload:
{"id": 165025, "discussion": 63498, "parent": 164953, "userid": 46671, "userfullname": "student_4", "created": "2025-02-06T18:54:00", "modified": "2025-02-06T18:54:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Summary of the Rules (IN031: Corrupted logistic robot | KJE Moodle\u00a0+ IN031: Corrupted logistic robot | KJE Moodle)Logistic Rules:The robot picks one cube at a time.The robot processes cubes in their given order on the conveyor belt.Color (Logical) Rules:3. Color Assignment (Parallel):GREEN cubes \u2192 place-id \"A\" (Rule #3a)BLUE cubes \u2192 place-id \"B\" (Rule #3b, stronger)RED cubes \u2192 place-id \"C\" (Rule #3c, stronger)The mirroring technique confirms that deviations from the blue and red assignments would lead to risk scenarios that are not observed.Exception for YELLOW Cubes:When there is no green input, YELLOW cubes are built in place-id \"A\" (as observed in Scenario #1 and Scenario #9).The assumption that each slot should contain only one color is false. In earlier scenarios, it seemed true, but in Scenario #12, multiple colors appear in the same slot.\n\nThis reveals the hermeneutical trap\u2014we assumed a more complex rule than necessary. The correct rule is that green always goes to slot A if present, and the other colors shift accordingly. Towers are not strictly limited to one color per slot; multiple towers can appear in the same slot when needed. (IN031: Corrupted logistic robot | KJE Moodle)", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 204, "charcount": 1015}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 19:19:00.000000
modified: 2025-02-06 19:19:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
Exact interpretation! Parallel: the robot does not have information about more than 3 colours (red, blue, green), AND for each undefinied colour-code, slot A is dedicated! Congratulation! Project is closed! :-)

raw_payload:
{"id": 165027, "discussion": 63498, "parent": 165023, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T19:19:00", "modified": "2025-02-06T19:19:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "Exact interpretation! Parallel: the robot does not have information about more than 3 colours (red, blue, green), AND for each undefinied colour-code, slot A is dedicated! Congratulation! Project is closed! :-)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 31, "charcount": 180}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 19:20:00.000000
modified: 2025-02-06 19:20:00.000000
subject: Re: Corrupted logistic robot
message: FYI: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165023
raw_payload:
{"id": 165028, "discussion": 63498, "parent": 165024, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T19:20:00", "modified": "2025-02-06T19:20:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "FYI: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165023", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 2, "charcount": 69}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 19:21:00.000000
modified: 2025-02-06 19:21:00.000000
subject: Re: Corrupted logistic robot
message:
Please, compare your solution with this one: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165023

raw_payload:
{"id": 165029, "discussion": 63498, "parent": 165025, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T19:21:00", "modified": "2025-02-06T19:21:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Please, compare your solution with this one: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165023", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 8, "charcount": 103}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_2
created: 2025-02-06 19:32:00.000000
modified: 2025-02-06 19:33:00.000000
subject: Re: Corrupted logistic robot
message:
The first solution layer (Colours) is incorrect because:In Experiment #1, Scenario #9, there is no green colour present in the "Input9" column.This means the assignment:Cell(E27)_new_colour = green is incorrect.SolutionCell(E27)_old_all=?(????) <-- Cell(E27)_new_colour=yellow  Cell(E28)_old_all=?(????) <-- Cell(E28)_new_colour=blue  Cell(E29)_old_all=?(????) <-- Cell(E29)_new_colour=red  Cell(E30)_old_all=?(????) <-- Cell(E30)_new_colour=not-used  NumbersCCell(E27)_old_all=?(????) <-- Cell(E27)_new_number=1  Cell(E28)_old_all=?(????) <-- Cell(E28)_new_number=2  Cell(E29)_old_all=?(????) <-- Cell(E29)_new_number=1  Cell(E30)_old_all=?(????) <-- Cell(E30)_new_number=not-used=0  LettersCell(E27)_old_all=?(????) <-- Cell(E27)_new_letters=(b)  Cell(E28)_old_all=?(????) <-- Cell(E28)_new_letters=(ad)  Cell(E29)_old_all=?(????) <-- Cell(E29)_new_letters=(c)  Cell(E30)_old_all=?(????) <-- Cell(E30)_new_letters=not-used=() Final Answer:The first solution layer (colours) was incorrect due to the green value. The correct assignment should be yellow instead. Numbers and letters layers were correct.

raw_payload:
{"id": 165033, "discussion": 63498, "parent": 164960, "userid": 46681, "userfullname": "student_2", "created": "2025-02-06T19:32:00", "modified": "2025-02-06T19:33:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "The first solution layer (Colours) is incorrect because:In Experiment #1, Scenario #9, there is no green colour present in the \"Input9\" column.This means the assignment:Cell(E27)_new_colour = green is incorrect.SolutionCell(E27)_old_all=?(????) <-- Cell(E27)_new_colour=yellow\u00a0\u00a0Cell(E28)_old_all=?(????) <-- Cell(E28)_new_colour=blue\u00a0\u00a0Cell(E29)_old_all=?(????) <-- Cell(E29)_new_colour=red\u00a0\u00a0Cell(E30)_old_all=?(????) <-- Cell(E30)_new_colour=not-used\u00a0\u00a0NumbersCCell(E27)_old_all=?(????) <-- Cell(E27)_new_number=1\u00a0\u00a0Cell(E28)_old_all=?(????) <-- Cell(E28)_new_number=2\u00a0\u00a0Cell(E29)_old_all=?(????) <-- Cell(E29)_new_number=1\u00a0\u00a0Cell(E30)_old_all=?(????) <-- Cell(E30)_new_number=not-used=0\u00a0\u00a0LettersCell(E27)_old_all=?(????) <-- Cell(E27)_new_letters=(b)\u00a0\u00a0Cell(E28)_old_all=?(????) <-- Cell(E28)_new_letters=(ad)\u00a0\u00a0Cell(E29)_old_all=?(????) <-- Cell(E29)_new_letters=(c)\u00a0\u00a0Cell(E30)_old_all=?(????) <-- Cell(E30)_new_letters=not-used=()\u00a0Final Answer:The first solution layer (colours) was incorrect due to the green value. The correct assignment should be yellow instead. Numbers and letters layers were correct.", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 99, "charcount": 1027}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-06 19:49:00.000000
modified: 2025-02-06 19:49:00.000000
subject: Re: Corrupted logistic robot
message:
Please, follow the closing interpretations here: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165023

raw_payload:
{"id": 165034, "discussion": 63498, "parent": 165033, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-06T19:49:00", "modified": "2025-02-06T19:49:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "Please, follow the closing interpretations here: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165023", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 7, "charcount": 108}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_19
created: 2025-02-06 23:21:00.000000
modified: 2025-02-06 23:21:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
Not correct ,this error happened because it is yellow instead of green (Cell(E27)_old_all=?(????) <--Cell(E27)_new_colour=green).

Correct anwser:
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow
Cell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue
Cell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red
Cell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_number=1
Cell(E28)_old_all=?(????) <--Cell(E28)_new_number=2
Cell(E29)_old_all=?(????) <--Cell(E29)_new_number=1
Cell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0
***
Cell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)
Cell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)
Cell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)
Cell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()
***

raw_payload:
{"id": 165035, "discussion": 63498, "parent": 164960, "userid": 46678, "userfullname": "student_19", "created": "2025-02-06T23:21:00", "modified": "2025-02-06T23:21:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "Not correct ,this error happened because it is yellow instead of green (Cell(E27)_old_all=?(????) <--Cell(E27)_new_colour=green).\n\nCorrect anwser:\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_colour=yellow\nCell(E28)_old_all=?(????) <--Cell(E28)_new_colour=blue\nCell(E29)_old_all=?(????) <--Cell(E29)_new_colour=red\nCell(E30)_old_all=?(????) <--Cell(E30)_new_colour=not-used\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_number=1\nCell(E28)_old_all=?(????) <--Cell(E28)_new_number=2\nCell(E29)_old_all=?(????) <--Cell(E29)_new_number=1\nCell(E30)_old_all=?(????) <--Cell(E30)_new_number=not-used=0\n***\nCell(E27)_old_all=?(????) <--Cell(E27)_new_letters=(b)\nCell(E28)_old_all=?(????) <--Cell(E28)_new_letters=(ad)\nCell(E29)_old_all=?(????) <--Cell(E29)_new_letters=(c)\nCell(E30)_old_all=?(????) <--Cell(E30)_new_letters=not-used=()\n***", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 44, "charcount": 789}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-07 07:00:00.000000
modified: 2025-02-07 07:00:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
Do/Did we need the information units from the experiment#2 in order to derive the hermeneutical trap as such? Which experiment (#1 or #2) has more (relevant) information units if at all?

raw_payload:
{"id": 165036, "discussion": 63498, "parent": 165035, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-07T07:00:00", "modified": "2025-02-07T07:00:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "Do/Did we need the information units from the experiment#2 in order to derive the hermeneutical trap as such? Which experiment (#1 or #2) has more (relevant) information units if at all?", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 31, "charcount": 156}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_22
created: 2025-02-08 21:18:00.000000
modified: 2025-02-08 21:18:00.000000
subject: Tárgy: Re: Tárgy: Re: Corrupted logistic robot
message:
Experiment #2 contains more relevant information units compared to Experiment #1. In Experiment #1, the colors green, red, and blue follow a known order, while yellow is the unknown variable. Yellow could appear first, between any of the other colors, or last. However, in Experiment #2, yellow is clearly placed first in input 9, which provides a more definite and relevant piece of information.

raw_payload:
{"id": 165044, "discussion": 63498, "parent": 165036, "userid": 46680, "userfullname": "student_22", "created": "2025-02-08T21:18:00", "modified": "2025-02-08T21:18:00", "mailed": 1, "subject": "T\u00e1rgy: Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "Experiment #2 contains more relevant information units compared to Experiment #1. In Experiment #1, the colors green, red, and blue follow a known order, while yellow is the unknown variable. Yellow could appear first, between any of the other colors, or last. However, in Experiment #2, yellow is clearly placed first in input 9, which provides a more definite and relevant piece of information.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 64, "charcount": 333}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_17
created: 2025-02-08 22:58:00.000000
modified: 2025-02-08 22:58:00.000000
subject: Tárgy: Re: Corrupted logistic robot
message:
I would use a database structure with separate tables for students, experiments, solution layers, student solutions, and evaluations. This setup would allow for unlimited guesses per student per layer. In Excel, I would use pivot tables to analyze total scores, the number of guesses, and the best guesses per student. This structure would support detailed evaluation and help rank students based on performance and correctness. This is my answer to experiment # 1 EXP 9-12 and experiment # 2 9-12Please let me know if there's anything I’m missing or if I’ve made any errors in my approach.

raw_payload:
{"id": 165045, "discussion": 63498, "parent": 164961, "userid": 45293, "userfullname": "student_17", "created": "2025-02-08T22:58:00", "modified": "2025-02-08T22:58:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Corrupted logistic robot", "message": "I would use a database structure with separate tables for students, experiments, solution layers, student solutions, and evaluations. This setup would allow for unlimited guesses per student per layer. In Excel, I would use pivot tables to analyze total scores, the number of guesses, and the best guesses per student. This structure would support detailed evaluation and help rank students based on performance and correctness. This is my answer to experiment # 1 EXP 9-12 and experiment # 2 9-12Please let me know if there's anything I\u2019m missing or if I\u2019ve made any errors in my approach.", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 98, "charcount": 494}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-09 02:39:00.000000
modified: 2025-02-09 02:39:00.000000
subject: Re: Tárgy: Corrupted logistic robot
message:
Please, try to interpret the enteri communication - especialy this one: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165027

raw_payload:
{"id": 165046, "discussion": 63498, "parent": 164963, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-09T02:39:00", "modified": "2025-02-09T02:39:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Corrupted logistic robot", "message": "Please, try to interpret the enteri communication - especialy this one: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165027", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 12, "charcount": 126}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-09 02:42:00.000000
modified: 2025-02-09 02:42:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
https://miau.my-x.hu/miau/320/moodle_cubes_logic/testing_task1_solutions.xlsx <--please, compare your solution with this one. Question: can we define a structure for storing unlimized guesses WITHOUT clarifying the final visualisation for the common accepted solutions for scenarios #10-11-12?

raw_payload:
{"id": 165047, "discussion": 63498, "parent": 165045, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-09T02:42:00", "modified": "2025-02-09T02:42:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "https://miau.my-x.hu/miau/320/moodle_cubes_logic/testing_task1_solutions.xlsx <--please, compare your solution with this one. Question: can we define a structure for storing unlimized guesses WITHOUT clarifying the final visualisation for the common accepted solutions for scenarios #10-11-12?", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 31, "charcount": 263}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-09 02:44:00.000000
modified: 2025-02-09 02:44:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
https://miau.my-x.hu/miau/320/moodle_cubes_logic/testing_task1_solutions.xlsx <-- worth interpreting in order to derive the final structure for storing unlimited guesses!

raw_payload:
{"id": 165048, "discussion": 63498, "parent": 165027, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-09T02:44:00", "modified": "2025-02-09T02:44:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "https://miau.my-x.hu/miau/320/moodle_cubes_logic/testing_task1_solutions.xlsx <-- worth interpreting in order to derive the final structure for storing unlimited guesses!", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 15, "charcount": 156}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_20
created: 2025-02-12 00:41:00.000000
modified: 2025-02-12 00:41:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
A demo structure for storing unlimited guesses in cases where all student, experiment, scenario, place ID, and layers can be found in the attached EXCEL file.

Please let me know if there are any suggestions for improving its efficiency.

raw_payload:
{"id": 165065, "discussion": 63498, "parent": 164961, "userid": 46675, "userfullname": "student_20", "created": "2025-02-12T00:41:00", "modified": "2025-02-12T00:41:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "A demo structure for storing unlimited guesses in cases where all student, experiment, scenario, place ID, and layers can be found in the attached EXCEL file.\n\nPlease let me know if there are any suggestions for improving its efficiency.", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 39, "charcount": 198}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-12 05:28:00.000000
modified: 2025-02-12 05:44:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
The structuring as such is not the direct problem (although we are seraching for the appropriate storing-structure - but the appropriate structure is not a technical phenomenon  rather a way e.g. to suspicion interpretation): we are searching for a storing structure where the reports can be interpreted in a useful way. Selected records are not the expected reports in general. The so-called cross-tabs (in Excel: pivots) create from the selected raw records a multidimensional report with appropriate report-structures (row-headers, column-headers, aggregation-rules, etc.). But selected (raw) records as such can be interesting IF THE INTERPRETATION RULES FOR THEM ARE GIVEN! Therefore: the develpment steps are in ranked form: 0. Suspicion/hypothesis --> 1. interpretation rules --> 2. needed e.g. pivot-structure (output) ---> 3. storing strucutre (input).  The file "guesses_demo.xlsx" presents steps 3. and 2. (if the selected raw records are accepted as reports) but these reports cover no planned needs (c.f. step 0), therefore there are no interpretation rules given to explain, whether a suspicion/hypothesis is wrong or true?! Demo: Suspicion = The wrong guesses are using more the 3 slots! Rule: If the count of the affected slots in case of a given (or each) Student is more than 3 for all scenarios (#1-12), than the solution must be wrong! Report: row-header(s): Student-ID(s), Column-headers: Slot-IDs, cells = count of guesses concerning the slots, Filter: All scenarios. Expectation: the Slot-ID=D may never exit in the reports in case of Students having the expected solution about the hermeneutical trap! (Parallel demo: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165068)

raw_payload:
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dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-12 05:30:00.000000
modified: 2025-02-12 05:30:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
This parallel task about the storing structure should have been a kind of hint helping to identify the hermeneutical trap (see: PARALLEL task:-)

raw_payload:
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dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-12 05:44:00.000000
modified: 2025-02-12 05:50:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
This (https://miau.my-x.hu/miau/320/moodle_cubes_logic/summary_report_20250212-0535.xlsx) is the most recent information package about the activities of the affected Students: the well-known question is, WHO IS THE BEST? c.f. https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165066 (Suspicion = Can we evauate EACH Student with the same evaluation index? / Interpretation rule = IF the COCO Y0-model does deliver for each Student the same norm value of 1000, THEN the suspicion/hypothesis is true / Needed report: OAM (<--identical with this XLSX = https://miau.my-x.hu/miau/320/moodle_cubes_logic/summary_report_20250212-0535.xlsx - where objects = Students, attributes = statistical phenomena with appropriate DIRECTION for a ranked OAM as direct input for COCO-Y0)... Direction demo: e.g. the more is the Number of discussions posted and/or the Number of replies posted and/or the Number of attachments and/or the Number of views and/or the Word count and/or the Character count THE BETTER is the performance + the younger the Earliest post THE BETTER is the performance + the later the Most recent post THE BETTER is the performance... More: https://miau.my-x.hu/miau/320/moodle_cubes_logic/?C=M;O=D - e.g. Which kind of new attributes could we define with which direction to improve the derivation of the BEST STUDENT based on this structure: https://miau.my-x.hu/miau/320/moodle_cubes_logic/discussion.html

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dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_4
created: 2025-02-12 16:00:00.000000
modified: 2025-02-12 16:00:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
I have prepared an Excel demo file that organizes student guesses in a structured format and includes a pivot table for analysis.

The pivot table summarizes student attempts for each cell reference.
Rows: Student_ID
Columns: Cell_Reference (E27, E28, etc.)
Values: Count of correct attempts per cell.
The "Overall Correct?" column indicates whether the latest valid attempt matches the expected solution.
This allows for easy evaluation of students' progress while tracking multiple guesses. Let me know if any adjustments are needed.

raw_payload:
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dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-12 17:01:00.000000
modified: 2025-02-12 17:01:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
https://miau.my-x.hu/miau/320/moodle_cubes_logic/guessing_demo.xlsx - Please, see the yellow sheet and the yellow cell! The interpretation as such seems to be smart! :-) But the pivot-table presents 2 counts in the yellow cell and one of them is a green-value in the background. If all two raw data are green-values, then the count=2-status is also given - and the monitoring effect does become irrational?! Excel-pivots can be defined with filters, where the expected rules might probably be enforced?!

raw_payload:
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dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_4
created: 2025-02-12 22:26:00.000000
modified: 2025-02-12 22:26:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
I have updated my Excel demo. Here’s a summary of the changes I made:Filtering Incorrect Attempts:I added a new column called Is_Correct in the raw_data sheet. This column flags an attempt as “Yes” only if the New_Color exactly matches the expected value for the corresponding cell (for example, for E27 the expected color is “yellow”, for E28 “blue”, for E29 “red”, and for E30 “not-used”).This ensures that if a student submits an incorrect guess (e.g., “green” for E27), it is marked “No” and will not be counted in the pivot table.Refined Pivot Table:In the pivot table, I now aggregate only those rows where Is_Correct is “Yes”.Additionally, I added an Overall Correct? column that indicates “Yes” only if the student has at least one correct attempt for each of the required cells (E27, E28, E29, and E30).This change prevents the irrational monitoring effect where an incorrect (green) value might inflate the count.Unlimited Guesses:Each guess is stored as a separate record with a unique Attempt_Number, so the system can handle unlimited guesses without overwriting previous attempts. This allows for a complete analysis of the students’ progression toward the correct solution.

raw_payload:
{"id": 165077, "discussion": 63498, "parent": 165074, "userid": 46671, "userfullname": "student_4", "created": "2025-02-12T22:26:00", "modified": "2025-02-12T22:26:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "I have updated my Excel demo. Here\u2019s a summary of the changes I made:Filtering Incorrect Attempts:I added a new column called Is_Correct in the raw_data sheet. This column flags an attempt as \u201cYes\u201d only if the New_Color exactly matches the expected value for the corresponding cell (for example, for E27 the expected color is \u201cyellow\u201d, for E28 \u201cblue\u201d, for E29 \u201cred\u201d, and for E30 \u201cnot-used\u201d).This ensures that if a student submits an incorrect guess (e.g., \u201cgreen\u201d for E27), it is marked \u201cNo\u201d and will not be counted in the pivot table.Refined Pivot Table:In the pivot table, I now aggregate only those rows where Is_Correct is \u201cYes\u201d.Additionally, I added an Overall Correct? column that indicates \u201cYes\u201d only if the student has at least one correct attempt for each of the required cells (E27, E28, E29, and E30).This change prevents the irrational monitoring effect where an incorrect (green) value might inflate the count.Unlimited Guesses:Each guess is stored as a separate record with a unique Attempt_Number, so the system can handle unlimited guesses without overwriting previous attempts. This allows for a complete analysis of the students\u2019 progression toward the correct solution.", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 197, "charcount": 1001}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_8
created: 2025-02-12 23:18:00.000000
modified: 2025-02-12 23:27:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
As you said, "We are waiting for an Excel-demo with real or realistic data AND first of all with at least a meaningful pivot-output, where we have rules for relevant interpretations concerning this output." I just tried to figure out how we could store all this data, allowing for unlimited potential guesses per student, in the DEMO.xlsx file using a Pivot Table to create a simple output. I believe all necessary explanations are included in the attached file.

raw_payload:
{"id": 165078, "discussion": 63498, "parent": 164961, "userid": 46674, "userfullname": "student_8", "created": "2025-02-12T23:18:00", "modified": "2025-02-12T23:27:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Corrupted logistic robot", "message": "As you said,\u00a0\"We are waiting for an Excel-demo with real or realistic data AND first of all with at least a meaningful pivot-output, where we have rules for relevant interpretations concerning this output.\"\u00a0I just tried to figure out how we could store all this data, allowing for unlimited potential guesses per student, in the DEMO.xlsx\u00a0file using a Pivot Table to create a simple output. I believe all necessary explanations are included in the attached file.", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 78, "charcount": 388}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-13 13:07:00.000000
modified: 2025-02-13 13:07:00.000000
subject: Re: Tárgy: Re: Corrupted logistic robot
message:
https://miau.my-x.hu/miau/320/moodle_cubes_logic/DEMO.xlsx <--the filtered approaches could already be useful, but the prepared report seems to be still not matured enough? (see: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63498#p165066)

raw_payload:
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dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_14
created: 2025-03-18 16:30:00.000000
modified: 2025-03-18 16:30:00.000000
subject: Re: Corrupted logistic robot
message:
1. Interpretation of All Test Scenarios (XLSX: 1–12)
The provided test scenarios define how a robotic system processes inputs and generates structured outputs. Each scenario includes:

Cell references (e.g., E27, K27) mapped to place-IDs (A, B, C, D)
Old values (?(????)) transformed into new attributes:
New Color (e.g., yellow, blue, red)
New Number (e.g., 1, 2, 0)
New Letters (e.g., (a), (b), etc.)
These test cases follow a repeatable pattern, indicating a rule-based decision process inside the black-box system.           
2. Understanding Data Structures
The dataset follows a structured format where:

Each experiment (EXPT.9, EXPT.10, etc.) applies transformations on specific place-IDs.
Each place-ID (A, B, C, D) behaves differently, suggesting predefined functional roles.
The pattern ?(????) represents an unknown function that processes inputs before generating new attributes.
The robot processes data based on structured logic, modifying cell values according to predefined transformation rules.                                                                                                                                                                                 3. Deriving Rules of the Black Box System
By analysing test scenarios, the following rules emerge:

Rule 1 (Colour Assignments Follow a Pattern)

Place-ID A always forms green towers in scenarios #4 to #8.
This suggests a fixed function for stacking in place-ID A.
Rule 2 (Number Assignments Represent Hierarchical Processing)

The assigned numbers (1, 2, 0) likely define priority levels or grouping functions.
Rule 3 (Letter Assignments Represent Categorization)

Letters (e.g., (a), (b), (ad)) are likely labels that define relationships between transformations.
Rule 4 (Conditional Processing in Certain Cells)

Some cells are marked as "not used", suggesting that transformations depend on specific conditions.
The robot's decision-making process follows these rules, meaning its behaviour can be predicted based on input configurations.
4. Defining Substitution Characters & Colours for ?(????)
The pattern ?(????) is a placeholder for computed attributes. Based on observed transformations:

Component	Meaning
?-	Transformation type (e.g., move, assign, stack)
(????)-	Computed attributes (color, number, letter)
Yellow-	Possible stacking function
Blue-	Possible intermediate function
Red-         Possible error/invalidation function
1, 2, 0-	Numerical weight or priority
(a), (b), (ad)-	Categorization labels
This format suggests the system computes values dynamically, applying different transformation rules based on the scenario.
5. Detailed Solutions for Place-IDs (A, B, C, D)
Each place-ID follows a unique function in the system:

Place-ID A (Stacking & Fixed Behavior)

Consistently receives structured outputs (e.g., green towers in test cases #4–#8).
Likely role: Final storage or stacking zone.
Place-ID B (Intermediate Processing Zone)

Contains varying attributes, suggesting midway transformations.
Likely role: Temporary holding place before final decisions.
Place-ID C (Conditional Transformations)

Varies between experiments, indicating dependent rules.
Likely role: Context-sensitive transformations based on previous inputs.
Place-ID D (Exception Handling or Inactive Slot)

Some experiments mark cells as “not used”, meaning D is not always active.
Likely role: Special condition handler or fallback process.

raw_payload:
{"id": 165384, "discussion": 63498, "parent": 164953, "userid": 42461, "userfullname": "student_14", "created": "2025-03-18T16:30:00", "modified": "2025-03-18T16:30:00", "mailed": 1, "subject": "Re: Corrupted logistic robot", "message": "1. Interpretation of All Test Scenarios (XLSX: 1\u201312)\nThe provided test scenarios define how a robotic system processes inputs and generates structured outputs. Each scenario includes:\n\nCell references (e.g., E27, K27) mapped to place-IDs (A, B, C, D)\nOld values (?(????)) transformed into new attributes:\nNew Color (e.g., yellow, blue, red)\nNew Number (e.g., 1, 2, 0)\nNew Letters (e.g., (a), (b), etc.)\nThese test cases follow a repeatable pattern, indicating a rule-based decision process inside the black-box system.           \n2. Understanding Data Structures\nThe dataset follows a structured format where:\n\nEach experiment (EXPT.9, EXPT.10, etc.) applies transformations on specific place-IDs.\nEach place-ID (A, B, C, D) behaves differently, suggesting predefined functional roles.\nThe pattern ?(????) represents an unknown function that processes inputs before generating new attributes.\nThe robot processes data based on structured logic, modifying cell values according to predefined transformation rules.                                                                                                                                                                                 3. Deriving Rules of the Black Box System\nBy analysing test scenarios, the following rules emerge:\n\nRule 1 (Colour Assignments Follow a Pattern)\n\nPlace-ID A always forms green towers in scenarios #4 to #8.\nThis suggests a fixed function for stacking in place-ID A.\nRule 2 (Number Assignments Represent Hierarchical Processing)\n\nThe assigned numbers (1, 2, 0) likely define priority levels or grouping functions.\nRule 3 (Letter Assignments Represent Categorization)\n\nLetters (e.g., (a), (b), (ad)) are likely labels that define relationships between transformations.\nRule 4 (Conditional Processing in Certain Cells)\n\nSome cells are marked as \"not used\", suggesting that transformations depend on specific conditions.\nThe robot's decision-making process follows these rules, meaning its behaviour can be predicted based on input configurations.\n4. Defining Substitution Characters & Colours for ?(????)\nThe pattern ?(????) is a placeholder for computed attributes. Based on observed transformations:\n\nComponent\tMeaning\n?-\tTransformation type (e.g., move, assign, stack)\n(????)-\tComputed attributes (color, number, letter)\nYellow-\tPossible stacking function\nBlue-\tPossible intermediate function\nRed-         Possible error/invalidation function\n1, 2, 0-\tNumerical weight or priority\n(a), (b), (ad)-\tCategorization labels\nThis format suggests the system computes values dynamically, applying different transformation rules based on the scenario.\n5. Detailed Solutions for Place-IDs (A, B, C, D)\nEach place-ID follows a unique function in the system:\n\nPlace-ID A (Stacking & Fixed Behavior)\n\nConsistently receives structured outputs (e.g., green towers in test cases #4\u2013#8).\nLikely role: Final storage or stacking zone.\nPlace-ID B (Intermediate Processing Zone)\n\nContains varying attributes, suggesting midway transformations.\nLikely role: Temporary holding place before final decisions.\nPlace-ID C (Conditional Transformations)\n\nVaries between experiments, indicating dependent rules.\nLikely role: Context-sensitive transformations based on previous inputs.\nPlace-ID D (Exception Handling or Inactive Slot)\n\nSome experiments mark cells as \u201cnot used\u201d, meaning D is not always active.\nLikely role: Special condition handler or fallback process.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 448, "charcount": 2774}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-18 18:50:00.000000
modified: 2025-03-18 18:50:00.000000
subject: Re: Corrupted logistic robot
message:
Very interesting interpretation: Long but quasi without any evaluable statements... The critical colour "yellow" has only two "interpretations" - without any clear formulations. This kind of communication will be totally forbidden in a final thesis!!!

raw_payload:
{"id": 165386, "discussion": 63498, "parent": 165384, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-18T18:50:00", "modified": "2025-03-18T18:50:00", "mailed": 0, "subject": "Re: Corrupted logistic robot", "message": "Very interesting interpretation: Long but quasi without any evaluable statements... The critical colour \"yellow\" has only two \"interpretations\" - without any clear formulations. This kind of communication will be totally forbidden in a final thesis!!!", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 35, "charcount": 217}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-21 08:55:00.000000
modified: 2025-02-21 09:11:00.000000
subject: Neptun anomalies in mobile phones
message:
Demo: https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docxTask: Please, try to find new anomalies and please, create new entries with the expected data (text) and with appropriate evidence-units (e.g. screenshots)! Each Student have to detect at least one single suspicion. Forbidden interpretations: it is forbidden to write about potential useful (still not given) Neptun-functionalities.  It is forbidden to write about empty bubbles, it means: about possibilities without any concrete/exactly defined/reproducible parameters. Screenshots can be accepted as exact, reproducible log-data. Quality assurance: A suspicion can be seen as validated, if the screenshot in the mobile-phone-version and the screenshot in the laptop-version are different and this difference is to present in a trivial way (see/use e.g. red marks in the demo-docx-version in both screenshots). GDPR/IT-security-aspects: Please, always work in an anonymized modus!More details: https://miau.my-x.hu/miau/320/moodle_neptun_tests/?C=M;O=D

raw_payload:
{"id": 165150, "discussion": 63566, "parent": 0, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-21T08:55:00", "modified": "2025-02-21T09:11:00", "mailed": 1, "subject": "Neptun anomalies in mobile phones", "message": "Demo:\u00a0https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docxTask: Please, try to find new anomalies and please, create new entries with the expected data (text) and with appropriate evidence-units (e.g. screenshots)! Each Student have to detect at least one single suspicion.\u00a0Forbidden interpretations: it is forbidden to write about potential useful (still not given) Neptun-functionalities.\u00a0 It is forbidden to write about empty bubbles, it means: about possibilities without any concrete/exactly defined/reproducible parameters. Screenshots can be accepted as exact, reproducible log-data.\u00a0Quality assurance: A suspicion can be seen as validated, if the screenshot in the mobile-phone-version and the screenshot in the laptop-version are different and this difference is to present in a trivial way (see/use e.g. red marks in the demo-docx-version in both screenshots). GDPR/IT-security-aspects: Please, always work in an anonymized modus!More details:\u00a0https://miau.my-x.hu/miau/320/moodle_neptun_tests/?C=M;O=D", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 128, "charcount": 922}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-21 09:21:00.000000
modified: 2025-02-21 09:21:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
Important notice: Please, try to be very precise concerning the expected (see demo-docx) descriptive details in your case(s). Please, do not forget: standardised communication among IT-experts is not a pain, it is a honour! (c.f. previous email-communications based e.g. on a well-defined email-subject & with empty email-body, etc.)

raw_payload:
{"id": 165151, "discussion": 63566, "parent": 165150, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-21T09:21:00", "modified": "2025-02-21T09:21:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "Important notice: Please, try to be very precise concerning the expected (see demo-docx) descriptive details in your case(s). Please, do not forget: standardised communication among IT-experts is not a pain, it is a honour! (c.f. previous email-communications based e.g. on a well-defined email-subject & with empty email-body, etc.)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 48, "charcount": 286}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-21 09:30:00.000000
modified: 2025-02-21 09:30:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
Important notice: The same level of the reproducibility, evidence-presence, detailedness, operativity should be achieved in case of your own final-thesis-automation-challenges - still in this semester! The most robust enemies of a final thesis are the empty-bubbles (c.f. communication anomalies in ChatGPT/Copilot - long gossips without any real contents). ChatGPT/Copilt can however be used as expected: https://miau.my-x.hu/miau/319/itsec_index_for_home_workers.docx / Human text-creation is always a kind of risk concerning empty-bubble-anomalies: https://miau.my-x.hu/miau/319/itsec_index_for_home_workers2.docx / Please, be extremly careful - the subject of software testing should be helpful to find the appropriate mind set, to train the needed focusing!

raw_payload:
{"id": 165152, "discussion": 63566, "parent": 165150, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-21T09:30:00", "modified": "2025-02-21T09:30:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "Important notice: The same level of the reproducibility, evidence-presence, detailedness, operativity should be achieved in case of your own final-thesis-automation-challenges - still in this semester! The most robust enemies of a final thesis are the empty-bubbles (c.f. communication anomalies in ChatGPT/Copilot - long gossips without any real contents). ChatGPT/Copilt can however be used as expected: https://miau.my-x.hu/miau/319/itsec_index_for_home_workers.docx / Human text-creation is always a kind of risk concerning empty-bubble-anomalies: https://miau.my-x.hu/miau/319/itsec_index_for_home_workers2.docx / Please, be extremly careful - the subject of software testing should be helpful to find the appropriate mind set, to train the needed focusing!", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 93, "charcount": 670}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-21 18:06:00.000000
modified: 2025-02-21 18:06:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
Further 2 anomalies are already integrated into the basic document: https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docx

raw_payload:
{"id": 165160, "discussion": 63566, "parent": 165150, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-21T18:06:00", "modified": "2025-02-21T18:06:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "Further 2 anomalies are already integrated into the basic document: https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docx", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 11, "charcount": 141}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-21 21:51:00.000000
modified: 2025-02-21 21:51:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
Status: 7 anomalies are already integrated into the basic document: https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docx

raw_payload:
{"id": 165161, "discussion": 63566, "parent": 165160, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-21T21:51:00", "modified": "2025-02-21T21:51:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "Status: 7 anomalies are already integrated into the basic document: https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docx", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 11, "charcount": 141}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-22 05:53:00.000000
modified: 2025-02-22 05:57:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
Relevant questions (to https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docx): Is the descriptive structure of the case-studies complete? Which new aspect is already detected? Is still further new aspects possible?How should we integrate the new aspect(s)? (What we exactly have to do?)

raw_payload:
{"id": 165162, "discussion": 63566, "parent": 165150, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-22T05:53:00", "modified": "2025-02-22T05:57:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "Relevant questions (to https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docx):\u00a0Is the descriptive structure of the case-studies complete?\u00a0Which new aspect is already detected?\u00a0Is still further new aspects possible?How should we integrate the new aspect(s)? (What we exactly have to do?)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 37, "charcount": 284}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-22 05:55:00.000000
modified: 2025-02-22 06:10:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
Status: already 11 case-study-elements (in https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docx)

raw_payload:
{"id": 165163, "discussion": 63566, "parent": 165161, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-22T05:55:00", "modified": "2025-02-22T06:10:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "Status: already 11 case-study-elements (in https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docx)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 6, "charcount": 122}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-22 05:59:00.000000
modified: 2025-02-22 05:59:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
A new task is from now on to solve: Please, try to interpret the last chapter (conclusions), and please, try to formulate further analytical aspects! (see: https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docxÖ

raw_payload:
{"id": 165164, "discussion": 63566, "parent": 165150, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-22T05:59:00", "modified": "2025-02-22T05:59:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "A new task is from now on to solve: Please, try to interpret the last chapter (conclusions), and please, try to formulate further analytical aspects! (see: https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docx\u00d6", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 27, "charcount": 214}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-24 04:31:00.000000
modified: 2025-02-24 04:31:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
TASK: In order to derive conclusions in a carefully planned way, we always need an OAM where the objects (row-headers) are the cases (#1-#16), and the attributes (column-headers) are all of the characteristics which can be interpreted in case of all objects (incl. measurement unit). (In ideal case, this OAM is already coming from a database in form of a query (see e.g. pivot table). Please, define first of all the potential attributes - in ideal case each Student may define at least one (own) attribute (useful for ALL cases in this document: https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docx). The definition should be written here... The recommended/suggested definition will be consolidated BEFORE the appropriate data for the OAM will be "measured" (derived)... Deadline: 2025.II.26.-24.00

raw_payload:
{"id": 165183, "discussion": 63566, "parent": 165150, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-24T04:31:00", "modified": "2025-02-24T04:31:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "TASK: In order to derive conclusions in a carefully planned way, we always need an OAM where the objects (row-headers) are the cases (#1-#16), and the attributes (column-headers) are all of the characteristics which can be interpreted in case of all objects (incl. measurement unit). (In ideal case, this OAM is already coming from a database in form of a query (see e.g. pivot table). Please, define first of all the potential attributes - in ideal case each Student may define at least one (own) attribute (useful for ALL cases in this document: https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docx). The definition should be written here... The recommended/suggested definition will be consolidated BEFORE the appropriate data for the OAM will be \"measured\" (derived)... Deadline: 2025.II.26.-24.00", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 119, "charcount": 714}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_7
created: 2025-02-24 09:01:00.000000
modified: 2025-02-24 09:01:00.000000
subject: Tárgy: Re: Neptun anomalies in mobile phones
message:
Below is my proposed list of attributes for the OAM. These attributes cover details for each case and can be interpreted across all entries:

Case ID
identifiers (e.g. #1, #2, ..., #16)

Test Date
date when the anomaly was recorded (format: DD.MM.YYYY)

Phone Details
brand, model, OS version, and build number

User Role
role of the user (student or teacher)

Test URL
URL where the test was performed.

Anomaly Type
classification (e.g. UI inconsistency, missing element, redirect error)

Anomaly Description
Brief summary of the observed issue

raw_payload:
{"id": 165184, "discussion": 63566, "parent": 165183, "userid": 46683, "userfullname": "student_7", "created": "2025-02-24T09:01:00", "modified": "2025-02-24T09:01:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Neptun anomalies in mobile phones", "message": "Below is my proposed list of attributes for the OAM. These attributes cover details for each case and can be interpreted across all entries:\n\nCase ID\nidentifiers (e.g. #1, #2, ..., #16)\n\nTest Date\ndate when the anomaly was recorded (format: DD.MM.YYYY)\n\nPhone Details\nbrand, model, OS version, and build number\n\nUser Role\nrole of the user (student or teacher)\n\nTest URL\nURL where the test was performed.\n\nAnomaly Type\nclassification (e.g. UI inconsistency, missing element, redirect error)\n\nAnomaly Description\nBrief summary of the observed issue", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 86, "charcount": 454}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-24 09:42:00.000000
modified: 2025-02-24 09:42:00.000000
subject: Re: Tárgy: Re: Neptun anomalies in mobile phones
message:
(Case#ID = objectID)
Attribute#1: test date (O.K.)
Attribute#2a: phone-brand
Attribute#2b: phone-model
Attribute#2c: phone-OSversion
Attribute#2d: phone-buildnumber
Attribute#3: Role (O.K.)
Attribute#4a: URL-level1: https://neptun.kodolanyi.hu/
Attribute#4b: URL-level2: https://neptun.kodolanyi.hu/Hallgato_NG/
Attribute#4c: URL-level3: https://neptun.kodolanyi.hu/Hallgato_NG/dashboard
Attribute#4d: URL-level4: ...
Attribute#5: Type1 (we need a definitive option-value-list: UI, missing element, redirect error, ..., conceptual parameter<>error, ...)
(a summary with free texts is too abstract to use as an attribute)
Attribute#6: Type2 (dynamic or static <-- it means: the evidence units can be presented as screenshots = static or the evidence units should be presented as mp4 = dynamic user experience)
Attribute#7: Type3 (login needed or login not-needed)
Attribute#8: Type4 (landscape mode = fixing problem: YES or NO)
Attribute#9: ???

raw_payload:
{"id": 165185, "discussion": 63566, "parent": 165184, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-24T09:42:00", "modified": "2025-02-24T09:42:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Neptun anomalies in mobile phones", "message": "(Case#ID = objectID)\nAttribute#1: test date (O.K.)\nAttribute#2a: phone-brand\nAttribute#2b: phone-model\nAttribute#2c: phone-OSversion\nAttribute#2d: phone-buildnumber\nAttribute#3: Role (O.K.)\nAttribute#4a: URL-level1: https://neptun.kodolanyi.hu/\nAttribute#4b: URL-level2: https://neptun.kodolanyi.hu/Hallgato_NG/\nAttribute#4c: URL-level3: https://neptun.kodolanyi.hu/Hallgato_NG/dashboard\nAttribute#4d: URL-level4: ...\nAttribute#5: Type1 (we need a definitive option-value-list: UI, missing element, redirect error, ..., conceptual parameter<>error, ...)\n(a summary with free texts is too abstract to use as an attribute)\nAttribute#6: Type2 (dynamic or static <-- it means: the evidence units can be presented as screenshots = static or the evidence units should be presented as mp4 = dynamic user experience)\nAttribute#7: Type3 (login needed or login not-needed)\nAttribute#8: Type4 (landscape mode = fixing problem: YES or NO)\nAttribute#9: ???", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 109, "charcount": 835}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_17
created: 2025-02-24 13:05:00.000000
modified: 2025-02-24 13:05:00.000000
subject: Tárgy: Re: Neptun anomalies in mobile phones
message:
Here’s a suggested way to set up the attributes:

Case ID – Identifier (e.g., #1, #2, ..., #16)
Attribute #1: Test Date – (format: DD.MM.YYYY)
Attribute #2: Phone Brand – 
Attribute #3: Phone Model – 
Attribute #4: Phone OS Version – Operating system version (e.g., Android 12, iOS 16)
Attribute #5: Phone Build Number – OS build version
Attribute #6: User Role – Role of the user (Student/Teacher) „Are you a student?” (Yes/No)
Attribute #7: Authentication Requirement – Login needed (Yes/No)
Attribute #8: Anomaly Type – Classification (e.g., UI inconsistency, missing element, redirect error etc...)
Attribute #9: Anomaly Evidence Type – Dynamic (requires video) or Static (can be captured via screenshots)
Attribute #10: Landscape Mode Fixing Issue – Does switching to landscape mode resolve the problem? (Yes/No)
Attribute #11: Severity Level – Impact of the issue (Low, Medium, High, Critical)
Attribute #12: Browser Used – 
Attribute #13: Network Condition – Connection type (Wi-Fi, mobile data, offline mode)

raw_payload:
{"id": 165186, "discussion": 63566, "parent": 165183, "userid": 45293, "userfullname": "student_17", "created": "2025-02-24T13:05:00", "modified": "2025-02-24T13:05:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Neptun anomalies in mobile phones", "message": "Here\u2019s a suggested way to set up the attributes:\n\nCase ID \u2013 Identifier (e.g., #1, #2, ..., #16)\nAttribute #1: Test Date \u2013 (format: DD.MM.YYYY)\nAttribute #2: Phone Brand \u2013 \nAttribute #3: Phone Model \u2013 \nAttribute #4: Phone OS Version \u2013 Operating system version (e.g., Android 12, iOS 16)\nAttribute #5: Phone Build Number \u2013 OS build version\nAttribute #6: User Role \u2013 Role of the user (Student/Teacher) \u201eAre you a student?\u201d (Yes/No)\nAttribute #7: Authentication Requirement \u2013 Login needed (Yes/No)\nAttribute #8: Anomaly Type \u2013 Classification (e.g., UI inconsistency, missing element, redirect error etc...)\nAttribute #9: Anomaly Evidence Type \u2013 Dynamic (requires video) or Static (can be captured via screenshots)\nAttribute #10: Landscape Mode Fixing Issue \u2013 Does switching to landscape mode resolve the problem? (Yes/No)\nAttribute #11: Severity Level \u2013 Impact of the issue (Low, Medium, High, Critical)\nAttribute #12: Browser Used \u2013 \nAttribute #13: Network Condition \u2013 Connection type (Wi-Fi, mobile data, offline mode)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 143, "charcount": 856}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-24 18:36:00.000000
modified: 2025-02-24 18:36:00.000000
subject: Re: Tárgy: Re: Neptun anomalies in mobile phones
message:
Severity level: is this an objective information (log-based) or a subjective estimation?
Network Condition – Connection type (Wi-Fi, mobile data, offline mode): Do we really have the log-data for this attribute?

raw_payload:
{"id": 165187, "discussion": 63566, "parent": 165186, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-24T18:36:00", "modified": "2025-02-24T18:36:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Neptun anomalies in mobile phones", "message": "Severity level: is this an objective information (log-based) or a subjective estimation?\nNetwork Condition \u2013 Connection type (Wi-Fi, mobile data, offline mode): Do we really have the log-data for this attribute?", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 30, "charcount": 181}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_6
created: 2025-02-24 18:55:00.000000
modified: 2025-02-24 18:55:00.000000
subject: Tárgy: Re: Neptun anomalies in mobile phones
message:
Proposed Attributes for the OAM
(Based on the analysis of the given document, the following attributes are considered useful and applicable to all cases.)

Device type (Text: brand + model)
Release year (Year: yyyy)
Display size (Inches: “)
Display technology (Text: e.g., LCD, OLED, AMOLED)
Resolution (Pixels: width × height)
Processor type (Text: e.g., Qualcomm Snapdragon 8 Gen 2, Apple A17 Bionic, etc.)
Number of processor cores (Integer: count)
RAM size (GB: gigabytes)
Internal storage (GB: gigabytes)
Expandable storage support (microSD card) (Yes/No)
Operating system (Text: e.g., Android 14, iOS 17, HarmonyOS, etc.)
Battery capacity (mAh: milliampere-hour)
Wireless charging support (Yes/No)
Fast charging support (Yes/No, or specified in watts)
Main camera resolution (MP: megapixels)
Secondary (selfie) camera resolution (MP: megapixels)
Maximum video resolution (e.g., 4K@60fps, 1080p@30fps, etc.)
5G support (Yes/No)
Wi-Fi version (e.g., Wi-Fi 5, Wi-Fi 6, Wi-Fi 6E, etc.)
Bluetooth version (e.g., 4.2, 5.0, 5.3, etc.)
Water resistance rating (IP level: e.g., IP68, IP67, etc.)
Weight (g: grams)
Dimensions (H × W × D) (mm: millimeters)
Price (in the specified currency) (e.g., USD, EUR, HUF, etc.)
Display refresh rate (Hz: hertz)
Reason: In modern smartphones, the display refresh rate (e.g., 60Hz, 90Hz, 120Hz, 144Hz, etc.) plays an important role in user experience, particularly in gaming and smooth scrolling.

These attributes are applicable to all mobile phones in the dataset and can help in making meaningful comparisons and analyses.

raw_payload:
{"id": 165188, "discussion": 63566, "parent": 165183, "userid": 47139, "userfullname": "student_6", "created": "2025-02-24T18:55:00", "modified": "2025-02-24T18:55:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Neptun anomalies in mobile phones", "message": "Proposed Attributes for the OAM\n(Based on the analysis of the given document, the following attributes are considered useful and applicable to all cases.)\n\nDevice type (Text: brand + model)\nRelease year (Year: yyyy)\nDisplay size (Inches: \u201c)\nDisplay technology (Text: e.g., LCD, OLED, AMOLED)\nResolution (Pixels: width \u00d7 height)\nProcessor type (Text: e.g., Qualcomm Snapdragon 8 Gen 2, Apple A17 Bionic, etc.)\nNumber of processor cores (Integer: count)\nRAM size (GB: gigabytes)\nInternal storage (GB: gigabytes)\nExpandable storage support (microSD card) (Yes/No)\nOperating system (Text: e.g., Android 14, iOS 17, HarmonyOS, etc.)\nBattery capacity (mAh: milliampere-hour)\nWireless charging support (Yes/No)\nFast charging support (Yes/No, or specified in watts)\nMain camera resolution (MP: megapixels)\nSecondary (selfie) camera resolution (MP: megapixels)\nMaximum video resolution (e.g., 4K@60fps, 1080p@30fps, etc.)\n5G support (Yes/No)\nWi-Fi version (e.g., Wi-Fi 5, Wi-Fi 6, Wi-Fi 6E, etc.)\nBluetooth version (e.g., 4.2, 5.0, 5.3, etc.)\nWater resistance rating (IP level: e.g., IP68, IP67, etc.)\nWeight (g: grams)\nDimensions (H \u00d7 W \u00d7 D) (mm: millimeters)\nPrice (in the specified currency) (e.g., USD, EUR, HUF, etc.)\nDisplay refresh rate (Hz: hertz)\nReason: In modern smartphones, the display refresh rate (e.g., 60Hz, 90Hz, 120Hz, 144Hz, etc.) plays an important role in user experience, particularly in gaming and smooth scrolling.\n\nThese attributes are applicable to all mobile phones in the dataset and can help in making meaningful comparisons and analyses.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 229, "charcount": 1329}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-24 19:21:00.000000
modified: 2025-02-24 19:21:00.000000
subject: Re: Tárgy: Re: Neptun anomalies in mobile phones
message:
The task is a practical challenge: we have cases with very limited content units. The above listed possibilities are theoretically interesting, but we will finally need a real OAM! A real OAM has in all of the definied row*column-position existing data! On the other hand: e.g. the weight might never play any role in such a testing challenge...

raw_payload:
{"id": 165189, "discussion": 63566, "parent": 165188, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-24T19:21:00", "modified": "2025-02-24T19:21:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Neptun anomalies in mobile phones", "message": "The task is a practical challenge: we have cases with very limited content units. The above listed possibilities are theoretically interesting, but we will finally need a real OAM! A real OAM has in all of the definied row*column-position existing data! On the other hand: e.g. the weight might never play any role in such a testing challenge...", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 58, "charcount": 288}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_18
created: 2025-02-24 19:35:00.000000
modified: 2025-02-24 19:35:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
here is my proposed potential attributes for OAM.

1-Device Brand & Model

2-Operating System & Version

3-Browser Used

4-Neptun Page/Module Accessed

5-Anomaly Type

6-Error Consistency 

7-Network Type 

8-Screen Resolution

9-User Role in Neptun

10-Screenshot Evidence Available

11-Affected Functions

12-Cache/Cookies Cleared Before Testing

raw_payload:
{"id": 165190, "discussion": 63566, "parent": 165183, "userid": 46673, "userfullname": "student_18", "created": "2025-02-24T19:35:00", "modified": "2025-02-24T19:35:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "here is my proposed potential attributes for OAM.\n\n1-Device Brand & Model\n\n2-Operating System & Version\n\n3-Browser Used\n\n4-Neptun Page/Module Accessed\n\n5-Anomaly Type\n\n6-Error Consistency \n\n7-Network Type \n\n8-Screen Resolution\n\n9-User Role in Neptun\n\n10-Screenshot Evidence Available\n\n11-Affected Functions\n\n12-Cache/Cookies Cleared Before Testing", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 42, "charcount": 292}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_17
created: 2025-02-24 21:03:00.000000
modified: 2025-02-24 21:03:00.000000
subject: Tárgy: Re: Tárgy: Re: Neptun anomalies in mobile phones
message:
Severity Level is more of a subjective estimation because testers decide how serious the problem is. 
It depends. If the app records network changes, then yes, it's log-based. But if testers just write it down, it might not be accurate. We need to check if the data is actually logged.

raw_payload:
{"id": 165191, "discussion": 63566, "parent": 165187, "userid": 45293, "userfullname": "student_17", "created": "2025-02-24T21:03:00", "modified": "2025-02-24T21:03:00", "mailed": 1, "subject": "T\u00e1rgy: Re: T\u00e1rgy: Re: Neptun anomalies in mobile phones", "message": "Severity Level is more of a subjective estimation because testers decide how serious the problem is. \nIt depends. If the app records network changes, then yes, it's log-based. But if testers just write it down, it might not be accurate. We need to check if the data is actually logged.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 50, "charcount": 235}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-24 21:06:00.000000
modified: 2025-02-24 21:06:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
&-sign is a structural error: one particular OAM-cell does always need one single content-unit! 
Parallel: Even good ideas (c.f. Cache/Cookies Cleared Before Testing) are later usless - although each case could be reproduced and some new attributes could also be observed, and stored....

raw_payload:
{"id": 165192, "discussion": 63566, "parent": 165190, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-24T21:06:00", "modified": "2025-02-24T21:06:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "&-sign is a structural error: one particular OAM-cell does always need one single content-unit! \nParallel: Even good ideas (c.f. Cache/Cookies Cleared Before Testing) are later usless - although each case could be reproduced and some new attributes could also be observed, and stored....", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 43, "charcount": 244}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-24 21:27:00.000000
modified: 2025-02-24 21:27:00.000000
subject: Re: Tárgy: Re: Neptun anomalies in mobile phones
message:
The operative task was simple: we had to define EXISTING CONTENTS of the cases as attributes. The solutions deliver a lot of good ideas, but these ideas enforce the reproduction all 16 cases!  The reproduction does affect   all authors. Therefore: ideas could only be important AFTER the real task is solved!

raw_payload:
{"id": 165193, "discussion": 63566, "parent": 165188, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-24T21:27:00", "modified": "2025-02-24T21:27:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Neptun anomalies in mobile phones", "message": "The operative task was simple: we had to define EXISTING CONTENTS of the cases as attributes. The solutions deliver a lot of good ideas, but these ideas enforce the reproduction all 16 cases!  The reproduction does affect   all authors. Therefore: ideas could only be important AFTER the real task is solved!", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 51, "charcount": 255}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_10
created: 2025-02-25 15:28:00.000000
modified: 2025-02-25 15:28:00.000000
subject: Tárgy: Re: Neptun anomalies in mobile phones
message:
Case ID	
Test Day	- the day of anomaly found
User Role	
Device OS Type - Android or iOS device used.
URL Category	-Neptun page type affected.
Anomaly Type	-Kind of mobile issue found.
Severity Score	-How bad the problem is.
Landscape Fix	-Landscape mode fixes issue?
Workaround Exists- Temporary fix available or not.

raw_payload:
{"id": 165196, "discussion": 63566, "parent": 165183, "userid": 46677, "userfullname": "student_10", "created": "2025-02-25T15:28:00", "modified": "2025-02-25T15:28:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Neptun anomalies in mobile phones", "message": "Case ID\t\nTest Day\t- the day of anomaly found\nUser Role\t\nDevice OS Type - Android or iOS device used.\nURL Category\t-Neptun page type affected.\nAnomaly Type\t-Kind of mobile issue found.\nSeverity Score\t-How bad the problem is.\nLandscape Fix\t-Landscape mode fixes issue?\nWorkaround Exists- Temporary fix available or not.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 54, "charcount": 262}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-25 16:06:00.000000
modified: 2025-02-25 16:06:00.000000
subject: Re: Tárgy: Re: Neptun anomalies in mobile phones
message:
"Severity Score": subjective evaluation are for IT-experts rather risky than needed... On the other hand: the level of severity should be derivable! A new final study could be initialized for this kind of AI-based modelling challenge...

raw_payload:
{"id": 165197, "discussion": 63566, "parent": 165196, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-25T16:06:00", "modified": "2025-02-25T16:06:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Neptun anomalies in mobile phones", "message": "\"Severity Score\": subjective evaluation are for IT-experts rather risky than needed... On the other hand: the level of severity should be derivable! A new final study could be initialized for this kind of AI-based modelling challenge...", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 36, "charcount": 201}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_2
created: 2025-02-25 16:08:00.000000
modified: 2025-02-25 16:08:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
OAM Attributes
1.Test URL (Text, e.g., "https://example.com/login") – Identifies the web app being tested.
2.Test Date & Time (YYYY-MM-DD HH:MM:SS) – Ensures time-based tracking of issues.
3.Device Model (Text, e.g., "Samsung Galaxy S23") – Identifies device-specific issues.
4.Operating System & Version (Text, e.g., "Android 13, iOS 17") – Determines OS compatibility.
5.Screen Orientation (Landscape/Portrait) – Some UI issues depend on orientation.
6.Browser Used (Text, e.g., "Chrome, Safari, Edge") – Ensures browser-specific debugging.
7.User Role (Teacher/Student) – Helps analyze if issues are role-specific.
8.Anomaly Type (UI Issue / Navigation Issue / Missing Element / Functional Error, etc.) – Helps categorize the type of malfunction observed.
9.Login Required for Test (Yes/No) – Some issues might only occur after login, so tracking whether authentication was needed is relevant.

raw_payload:
{"id": 165198, "discussion": 63566, "parent": 165183, "userid": 46681, "userfullname": "student_2", "created": "2025-02-25T16:08:00", "modified": "2025-02-25T16:08:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "OAM Attributes\n1.Test URL (Text, e.g., \"https://example.com/login\") \u2013 Identifies the web app being tested.\n2.Test Date & Time (YYYY-MM-DD HH:MM:SS) \u2013 Ensures time-based tracking of issues.\n3.Device Model (Text, e.g., \"Samsung Galaxy S23\") \u2013 Identifies device-specific issues.\n4.Operating System & Version (Text, e.g., \"Android 13, iOS 17\") \u2013 Determines OS compatibility.\n5.Screen Orientation (Landscape/Portrait) \u2013 Some UI issues depend on orientation.\n6.Browser Used (Text, e.g., \"Chrome, Safari, Edge\") \u2013 Ensures browser-specific debugging.\n7.User Role (Teacher/Student) \u2013 Helps analyze if issues are role-specific.\n8.Anomaly Type (UI Issue / Navigation Issue / Missing Element / Functional Error, etc.) \u2013 Helps categorize the type of malfunction observed.\n9.Login Required for Test (Yes/No) \u2013 Some issues might only occur after login, so tracking whether authentication was needed is relevant.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 116, "charcount": 772}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_20
created: 2025-02-25 16:20:00.000000
modified: 2025-02-25 16:24:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
CaseID- A unique identifier for each anomaly case
Attribute#1: TestDate- The date when the anomaly was observed

Attribute#2: PhoneBrand- The brand of the mobile device used during testing (selected from a definitive option-value-liste.g., Xiaomi, Apple, Samsung).

Attribute#3: BrowserUsed- The web browser used during testing (selected from a definitive option-value-list e.g., Chrome, Safari, Edge, Firefox).

Attribute#4: AffectedURL- The specific URL or endpoint where the anomaly was observed. (the attribute can be expanded into hierarchical levels (Level 1, Level 2, Level 3, Level 4, etc.).

Attribute#5: UserRole- The role of the user testing the system (e.g., Student, Teacher).

Attribute#6: AnomalyType- The category of the observed anomaly (selected from a definitive option-value-list e.g., UI Inconsistency, Missing Element, Redirect Error, etc.).

Attribute#7: EvidenceType- The type of evidence collected (e.g., Static for screenshots, Dynamic for videos).

Attribute#8: RequiresDynamicEvidence- Indicates whether the anomaly requires dynamic evidence (e.g., video recordings) to fully capture the issue (Yes/No).

Attribute#9: LoginRequired- Indicates whether the anomaly requires a logged-in session (Yes/No).

Attribute#10: LandscapeFix- Indicates whether switching to landscape mode resolves the issue (Yes/No).

Attribute#11: InteractionType- The type of user interaction that triggers the anomaly (selected from a definitive option-value-list e.g., Touch, Scroll, Click, None).

Attribute#12: EvidenceAnonymization– Indicates whether the collected evidence requires anonymization to protect sensitive or personal data (Yes/No).

Attribute#13: RedMarks- The triviality of the anomalies is given through red marks (Yes/No).

Attribute#14: BlackMode- Indicates whether the UI is in dark/black mode (Yes/No).

Attribute#15: AnomalyOccurrenceRate- Measures how frequently a specific type of anomaly appears during testing.

raw_payload:
{"id": 165199, "discussion": 63566, "parent": 165183, "userid": 46675, "userfullname": "student_20", "created": "2025-02-25T16:20:00", "modified": "2025-02-25T16:24:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "CaseID- A unique identifier for each anomaly case\nAttribute#1: TestDate- The date when the anomaly was observed\n\nAttribute#2:\u00a0PhoneBrand- The brand of the mobile device used during testing (selected from a definitive option-value-liste.g., Xiaomi, Apple, Samsung).\n\nAttribute#3:\u00a0BrowserUsed- The web browser used during testing (selected from a definitive option-value-list e.g., Chrome, Safari, Edge, Firefox).\n\nAttribute#4:\u00a0AffectedURL- The specific URL or endpoint where the anomaly was observed. (the attribute can be expanded into hierarchical levels (Level 1, Level 2, Level 3, Level 4, etc.).\n\nAttribute#5:\u00a0UserRole- The role of the user testing the system (e.g., Student, Teacher).\n\nAttribute#6:\u00a0AnomalyType- The category of the observed anomaly (selected from a definitive option-value-list e.g., UI Inconsistency, Missing Element, Redirect Error, etc.).\n\nAttribute#7:\u00a0EvidenceType- The type of evidence collected (e.g., Static for screenshots, Dynamic for videos).\n\nAttribute#8:\u00a0RequiresDynamicEvidence- Indicates whether the anomaly requires dynamic evidence (e.g., video recordings) to fully capture the issue (Yes/No).\n\nAttribute#9:\u00a0LoginRequired- Indicates whether the anomaly requires a logged-in session (Yes/No).\n\nAttribute#10:\u00a0LandscapeFix- Indicates whether switching to landscape mode resolves the issue (Yes/No).\n\nAttribute#11:\u00a0InteractionType- The type of user interaction that triggers the anomaly (selected from a definitive option-value-list e.g., Touch, Scroll, Click, None).\n\nAttribute#12:\u00a0EvidenceAnonymization\u2013 Indicates whether the collected evidence requires anonymization to protect sensitive or personal data (Yes/No).\n\nAttribute#13:\u00a0RedMarks- The triviality of the anomalies is given through red marks (Yes/No).\n\nAttribute#14:\u00a0BlackMode- Indicates whether the UI is in dark/black mode (Yes/No).\n\nAttribute#15:\u00a0AnomalyOccurrenceRate- Measures how frequently a specific type of anomaly appears during testing.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 246, "charcount": 1696}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-25 16:40:00.000000
modified: 2025-02-25 16:40:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
It is nice to see the already prepared attributes in the list. The task/question should however catalyze NEW aspects (e.g. how can we create structured/deriveable attributes based on the free-texts of the anomaly-descriptions?)

raw_payload:
{"id": 165200, "discussion": 63566, "parent": 165198, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-25T16:40:00", "modified": "2025-02-25T16:40:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "It is nice to see the already prepared attributes in the list. The task/question should however catalyze NEW aspects (e.g. how can we create structured/deriveable attributes based on the free-texts of the anomaly-descriptions?)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 33, "charcount": 195}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-25 16:44:00.000000
modified: 2025-02-25 16:44:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
Attribute#15: AnomalyOccurrenceRate- Measures how frequently a specific type of anomaly appears during testing <--this information unit should we derive based on pivot tables or further analytical steps, they are not case-specific raw data!
Attribute#14: BlackMode- Indicates whether the UI is in dark/black mode (Yes/No) <--It seemsto be a new and useful idea!
Attribute#13: RedMarks- The triviality of the anomalies is given through red marks (Yes/No) <--this idea is not the same as the static/dynamic approach would like to highlight?

raw_payload:
{"id": 165201, "discussion": 63566, "parent": 165199, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-25T16:44:00", "modified": "2025-02-25T16:44:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "Attribute#15: AnomalyOccurrenceRate- Measures how frequently a specific type of anomaly appears during testing <--this information unit should we derive based on pivot tables or further analytical steps, they are not case-specific raw data!\nAttribute#14: BlackMode- Indicates whether the UI is in dark/black mode (Yes/No) <--It seemsto be a new and useful idea!\nAttribute#13: RedMarks- The triviality of the anomalies is given through red marks (Yes/No) <--this idea is not the same as the static/dynamic approach would like to highlight?", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 79, "charcount": 460}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_4
created: 2025-02-25 17:15:00.000000
modified: 2025-02-25 17:15:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
Below is a numbered list of all possible (log‑based) attributes for the OAM.

Test Date: The date when the anomaly was recorded (format: DD.MM.YYYY).
Phone Brand: The brand of the device (e.g., iPhone, Redmi, Poco).
Phone Model: The specific model of the device (e.g., iPhone 13, Redmi Note 13 Pro).
Phone OS Version: The operating system version running on the device (e.g., iOS 16.3, MIUI Global 12.0.18).
Phone Build Number: The firmware/build number (recorded only if available).
User Role: The role of the tester (e.g., Student, Teacher).
URL-level1: The base URL (e.g., https://neptun.kodolanyi.hu/).
URL-level2: The main directory or section (e.g., https://neptun.kodolanyi.hu/Hallgato_NG/).
URL-level3: The specific page where the test was conducted (e.g., https://neptun.kodolanyi.hu/Hallgato_NG/dashboard).
URL-level4: Additional URL details if applicable (e.g., further subdirectories or query parameters).
Anomaly Type: A classification selected from a fixed option-value list (e.g., UI inconsistency, missing element, redirect error, conceptual parameter error).
Evidence Unit Type: Indicates whether the evidence is provided as a static (screenshot) or dynamic (video/mp4) unit.
Login Requirement: States whether a login is needed to reproduce the anomaly (Login needed vs. Login not needed).
Landscape Mode Fix: Indicates if the anomaly is resolved in landscape mode (Yes/No).
Reproducibility/Frequency: An objective measure of how consistently the anomaly occurs (e.g., Always, Often, Sporadically, Rarely).

raw_payload:
{"id": 165202, "discussion": 63566, "parent": 165183, "userid": 46671, "userfullname": "student_4", "created": "2025-02-25T17:15:00", "modified": "2025-02-25T17:15:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "Below is a numbered list of all possible (log\u2011based) attributes for the OAM.\n\nTest Date: The date when the anomaly was recorded (format: DD.MM.YYYY).\nPhone Brand: The brand of the device (e.g., iPhone, Redmi, Poco).\nPhone Model: The specific model of the device (e.g., iPhone 13, Redmi Note 13 Pro).\nPhone OS Version: The operating system version running on the device (e.g., iOS 16.3, MIUI Global 12.0.18).\nPhone Build Number: The firmware/build number (recorded only if available).\nUser Role: The role of the tester (e.g., Student, Teacher).\nURL-level1: The base URL (e.g., https://neptun.kodolanyi.hu/).\nURL-level2: The main directory or section (e.g., https://neptun.kodolanyi.hu/Hallgato_NG/).\nURL-level3: The specific page where the test was conducted (e.g., https://neptun.kodolanyi.hu/Hallgato_NG/dashboard).\nURL-level4: Additional URL details if applicable (e.g., further subdirectories or query parameters).\nAnomaly Type: A classification selected from a fixed option-value list (e.g., UI inconsistency, missing element, redirect error, conceptual parameter error).\nEvidence Unit Type: Indicates whether the evidence is provided as a static (screenshot) or dynamic (video/mp4) unit.\nLogin Requirement: States whether a login is needed to reproduce the anomaly (Login needed vs. Login not needed).\nLandscape Mode Fix: Indicates if the anomaly is resolved in landscape mode (Yes/No).\nReproducibility/Frequency: An objective measure of how consistently the anomaly occurs (e.g., Always, Often, Sporadically, Rarely).", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 207, "charcount": 1316}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_21
created: 2025-02-25 17:44:00.000000
modified: 2025-02-25 17:44:00.000000
subject: Tárgy: Re: Tárgy: Re: Neptun anomalies in mobile phones
message:
(Case#ID = objectID)

Attribute#1: Test Date (YYYY.MM.DD) (OK)
Attribute#2a: Phone Brand (e.g., Samsung, Apple, Xiaomi)
Attribute#2b: Phone Model (e.g., iPhone 13, Samsung Galaxy S23)
Attribute#2c: Phone OS Version (e.g., Android 13, iOS 16)
Attribute#2d: Phone Build Number (precise software version)
Attribute#3: Role (Student/Teacher) (OK)
Attribute#4a: URL-Level 1: https://neptun.kodolanyi.hu/
Attribute#4b: URL-Level 2: https://neptun.kodolanyi.hu/Hallgato_NG/
Attribute#4c: URL-Level 3: https://neptun.kodolanyi.hu/Hallgato_NG/dashboard
Attribute#4d: URL-Level 4: …
Attribute#5: Type1 (Definitive Option List Only – No Free Text!)
UI Issue (e.g., misalignment, overlap, incorrect scaling)
Missing Element (e.g., button/textbox not appearing)
Redirect Error (e.g., incorrect/missing page navigation)
Conceptual Parameter Error (e.g., logical/system-level inconsistency)
Attribute#6: Type2 (Dynamic or Static)
Static = Screenshots are enough to present the issue
Dynamic = Video (MP4) required to capture user experience
Attribute#7: Type3 (Login Needed or Not)
Yes – Issue occurs after login
No – Issue is visible without logging in
Attribute#8: Type4 (Landscape Mode Fixing Problem)
Yes – Switching to landscape mode solves the problem
No – The problem remains in all orientations
Attribute#9: Red Marks for Validation
Yes – The triviality of anomalies is clearly marked with red
No – Red markings are missing

raw_payload:
{"id": 165203, "discussion": 63566, "parent": 165185, "userid": 46682, "userfullname": "student_21", "created": "2025-02-25T17:44:00", "modified": "2025-02-25T17:44:00", "mailed": 1, "subject": "T\u00e1rgy: Re: T\u00e1rgy: Re: Neptun anomalies in mobile phones", "message": "(Case#ID = objectID)\n\nAttribute#1: Test Date (YYYY.MM.DD) (OK)\nAttribute#2a: Phone Brand (e.g., Samsung, Apple, Xiaomi)\nAttribute#2b: Phone Model (e.g., iPhone 13, Samsung Galaxy S23)\nAttribute#2c: Phone OS Version (e.g., Android 13, iOS 16)\nAttribute#2d: Phone Build Number (precise software version)\nAttribute#3: Role (Student/Teacher) (OK)\nAttribute#4a: URL-Level 1: https://neptun.kodolanyi.hu/\nAttribute#4b: URL-Level 2: https://neptun.kodolanyi.hu/Hallgato_NG/\nAttribute#4c: URL-Level 3: https://neptun.kodolanyi.hu/Hallgato_NG/dashboard\nAttribute#4d: URL-Level 4: \u2026\nAttribute#5: Type1 (Definitive Option List Only \u2013 No Free Text!)\nUI Issue (e.g., misalignment, overlap, incorrect scaling)\nMissing Element (e.g., button/textbox not appearing)\nRedirect Error (e.g., incorrect/missing page navigation)\nConceptual Parameter Error (e.g., logical/system-level inconsistency)\nAttribute#6: Type2 (Dynamic or Static)\nStatic = Screenshots are enough to present the issue\nDynamic = Video (MP4) required to capture user experience\nAttribute#7: Type3 (Login Needed or Not)\nYes \u2013 Issue occurs after login\nNo \u2013 Issue is visible without logging in\nAttribute#8: Type4 (Landscape Mode Fixing Problem)\nYes \u2013 Switching to landscape mode solves the problem\nNo \u2013 The problem remains in all orientations\nAttribute#9: Red Marks for Validation\nYes \u2013 The triviality of anomalies is clearly marked with red\nNo \u2013 Red markings are missing", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 176, "charcount": 1233}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_16
created: 2025-02-25 18:42:00.000000
modified: 2025-02-25 18:42:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
CaseID – A unique identifier for each anomaly case.
TestDate – The date when the anomaly was observed (Format: DD.MM.YYYY).
PhoneBrand – The brand of the mobile device used (e.g., Apple, Samsung, Xiaomi).
PhoneModel – The exact model of the device (e.g., iPhone 13 Pro, Redmi Note 13 Pro).
AnomalyType – The type of issue (e.g., UI Bug, Missing Element, Redirect Error).
RedMarksUsed – Indicates whether the issue was marked with red for clarity in the report (Yes/No).
PhoneBuildNumber – The firmware/build number (if available).
UserRole – The role of the user testing the system (e.g., Student, Teacher).
AffectedComponent – The UI section affected by the anomaly (e.g., Menu, Button, Notification, Popup).
LoginRequirement – Indicates if login is needed to reproduce the anomaly (Yes/No).

raw_payload:
{"id": 165204, "discussion": 63566, "parent": 165183, "userid": 46672, "userfullname": "student_16", "created": "2025-02-25T18:42:00", "modified": "2025-02-25T18:42:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "CaseID \u2013 A unique identifier for each anomaly case.\nTestDate \u2013 The date when the anomaly was observed (Format: DD.MM.YYYY).\nPhoneBrand \u2013 The brand of the mobile device used (e.g., Apple, Samsung, Xiaomi).\nPhoneModel \u2013 The exact model of the device (e.g., iPhone 13 Pro, Redmi Note 13 Pro).\nAnomalyType \u2013 The type of issue (e.g., UI Bug, Missing Element, Redirect Error).\nRedMarksUsed \u2013 Indicates whether the issue was marked with red for clarity in the report (Yes/No).\nPhoneBuildNumber \u2013 The firmware/build number (if available).\nUserRole \u2013 The role of the user testing the system (e.g., Student, Teacher).\nAffectedComponent \u2013 The UI section affected by the anomaly (e.g., Menu, Button, Notification, Popup).\nLoginRequirement \u2013 Indicates if login is needed to reproduce the anomaly (Yes/No).", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 114, "charcount": 669}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-25 19:40:00.000000
modified: 2025-02-25 19:40:00.000000
subject: Re: Tárgy: Re: Tárgy: Re: Neptun anomalies in mobile phones
message: Attribute#6 vs. Attribute#9: are the both attributes the same?
raw_payload:
{"id": 165205, "discussion": 63566, "parent": 165203, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-25T19:40:00", "modified": "2025-02-25T19:40:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: T\u00e1rgy: Re: Neptun anomalies in mobile phones", "message": "Attribute#6 vs. Attribute#9: are the both attributes the same?", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 9, "charcount": 54}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-25 19:42:00.000000
modified: 2025-02-25 19:42:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
AffectedComponent – The UI section affected by the anomaly (e.g., Menu, Button, Notification, Popup)<--are we capable of classifying the cases (especially through source codes)?

raw_payload:
{"id": 165206, "discussion": 63566, "parent": 165204, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-25T19:42:00", "modified": "2025-02-25T19:42:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "AffectedComponent \u2013 The UI section affected by the anomaly (e.g., Menu, Button, Notification, Popup)<--are we capable of classifying the cases (especially through source codes)?", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 23, "charcount": 154}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-25 19:43:00.000000
modified: 2025-02-25 19:43:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
Reproducibility/Frequency: An objective measure of how consistently the anomaly occurs (e.g., Always, Often, Sporadically, Rarely)<--frequency seems to be not a raw data! <--reproducibility is a good and realistic idea - although there are a lot of testing experts - not only one single person is affected...

raw_payload:
{"id": 165207, "discussion": 63566, "parent": 165202, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-25T19:43:00", "modified": "2025-02-25T19:43:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "Reproducibility/Frequency: An objective measure of how consistently the anomaly occurs (e.g., Always, Often, Sporadically, Rarely)<--frequency seems to be not a raw data! <--reproducibility is a good and realistic idea - although there are a lot of testing experts - not only one single person is affected...", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 46, "charcount": 263}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-26 10:47:00.000000
modified: 2025-02-26 10:47:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
How should be consolidated the cases as such (docx-file: https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docx) AND the by Students recommended attributes (moodle_export: https://miau.my-x.hu/miau/320/moodle_neptun_tests/discussion.html) based on a cell-oriented content-management: c.f. https://miau.my-x.hu/miau/320/moodle_neptun_tests/oam_v0.xlsx

raw_payload:
{"id": 165212, "discussion": 63566, "parent": 165150, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-26T10:47:00", "modified": "2025-02-26T10:47:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "How should be consolidated the cases as such (docx-file: https://miau.my-x.hu/miau/320/moodle_neptun_tests/neptun_testing_mobile_phones.docx) AND the by Students recommended attributes (moodle_export: https://miau.my-x.hu/miau/320/moodle_neptun_tests/discussion.html) based on a cell-oriented content-management: c.f. https://miau.my-x.hu/miau/320/moodle_neptun_tests/oam_v0.xlsx", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 25, "charcount": 355}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_19
created: 2025-02-26 21:54:00.000000
modified: 2025-02-26 21:54:00.000000
subject: Tárgy: Re: Neptun anomalies in mobile phones
message:
OAM Attributes:
Anomaly Type – Classifies the issue, such as UI glitches, navigation errors, or missing elements.
Test Date & Time – Records when the issue was observed for accurate tracking.
Test URL – Identifies the web application under evaluation.
Login Requirement – Indicates whether authentication was needed for testing.
User Role – Helps determine if the issue is role-specific.
Device Model – Identifies potential device-related problems.
Operating System & Version – Assesses OS compatibility.
Browser Used – Helps diagnose browser-specific issues.
Screen Orientation – Captures whether the issue occurs in landscape or portrait mode.

raw_payload:
{"id": 165215, "discussion": 63566, "parent": 165183, "userid": 46678, "userfullname": "student_19", "created": "2025-02-26T21:54:00", "modified": "2025-02-26T21:54:00", "mailed": 1, "subject": "T\u00e1rgy: Re: Neptun anomalies in mobile phones", "message": "OAM Attributes:\nAnomaly Type \u2013 Classifies the issue, such as UI glitches, navigation errors, or missing elements.\nTest Date & Time \u2013 Records when the issue was observed for accurate tracking.\nTest URL \u2013 Identifies the web application under evaluation.\nLogin Requirement \u2013 Indicates whether authentication was needed for testing.\nUser Role \u2013 Helps determine if the issue is role-specific.\nDevice Model \u2013 Identifies potential device-related problems.\nOperating System & Version \u2013 Assesses OS compatibility.\nBrowser Used \u2013 Helps diagnose browser-specific issues.\nScreen Orientation \u2013 Captures whether the issue occurs in landscape or portrait mode.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 86, "charcount": 551}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_9
created: 2025-02-26 23:35:00.000000
modified: 2025-02-26 23:35:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
here are my proposed potential attributes for OAM.

Attribute#1 Case ID (Integer, e.g., "1, 2, 3") – Unique identifier for each test case.

Attribute#2 Tested Feature/Function (Text, e.g., "Final Exam Registration, Messages") – Specifies which part of Neptun was tested.
Attribute#3 Tested Page Section (Text, e.g., "Dashboard, Personal Data, Messages") – Helps pinpoint where the issue occurs.

Attribute#4 Error Description (Text, e.g., "Button missing, UI shifts in portrait mode") – Describes the specific issue.

Attribute#5 Issue Severity (Low/Medium/High) – Helps prioritize critical bugs.

Attribute#6 Reproducibility (Yes/No) – Indicates whether the issue occurs consistently.

Attribute#7 Temporary Workaround Available (Yes/No) – Notes if a workaround exists (e.g., switching to landscape mode).

Attribute#8 Device-Specific Issue (Yes/No) – Determines if the anomaly happens on all devices or only certain ones.

Attribute#9 Fix Suggestion (Text, e.g., "Rearrange UI elements, Fix redirection issue") – Provides possible solutions.

raw_payload:
{"id": 165216, "discussion": 63566, "parent": 165183, "userid": 46667, "userfullname": "student_9", "created": "2025-02-26T23:35:00", "modified": "2025-02-26T23:35:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "here are my proposed potential attributes for OAM.\n\nAttribute#1 Case ID (Integer, e.g., \"1, 2, 3\") \u2013 Unique identifier for each test case.\n\nAttribute#2 Tested Feature/Function (Text, e.g., \"Final Exam Registration, Messages\") \u2013 Specifies which part of Neptun was tested.\nAttribute#3 Tested Page Section (Text, e.g., \"Dashboard, Personal Data, Messages\") \u2013 Helps pinpoint where the issue occurs.\n\nAttribute#4 Error Description (Text, e.g., \"Button missing, UI shifts in portrait mode\") \u2013 Describes the specific issue.\n\nAttribute#5 Issue Severity (Low/Medium/High) \u2013 Helps prioritize critical bugs.\n\nAttribute#6 Reproducibility (Yes/No) \u2013 Indicates whether the issue occurs consistently.\n\nAttribute#7 Temporary Workaround Available (Yes/No) \u2013 Notes if a workaround exists (e.g., switching to landscape mode).\n\nAttribute#8 Device-Specific Issue (Yes/No) \u2013 Determines if the anomaly happens on all devices or only certain ones.\n\nAttribute#9 Fix Suggestion (Text, e.g., \"Rearrange UI elements, Fix redirection issue\") \u2013 Provides possible solutions.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 132, "charcount": 895}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-27 02:26:00.000000
modified: 2025-02-27 02:26:00.000000
subject: Re: Tárgy: Re: Neptun anomalies in mobile phones
message: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63566#p165212
raw_payload:
{"id": 165217, "discussion": 63566, "parent": 165215, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-27T02:26:00", "modified": "2025-02-27T02:26:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Re: Neptun anomalies in mobile phones", "message": "https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63566#p165212", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 1, "charcount": 65}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-02-27 02:30:00.000000
modified: 2025-02-27 02:30:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
Attribute#2 Tested Feature/Function (Text, e.g., "Final Exam Registration, Messages") – Specifies which part of Neptun was tested <--interesting approach
Attribute#3 Tested Page Section (Text, e.g., "Dashboard, Personal Data, Messages") – Helps pinpoint where the issue occurs <--interesting approach
Attribute#4 Error Description (Text, e.g., "Button missing, UI shifts in portrait mode") – Describes the specific issue <-- this approximation should be worked out in a deep/detailed level
Attribute#9 Fix Suggestion (Text, e.g., "Rearrange UI elements, Fix redirection issue") – Provides possible solutions <-- <--interesting approach
... <--- summa summarum: very creative suggestions! Good job!

raw_payload:
{"id": 165218, "discussion": 63566, "parent": 165216, "userid": 34004, "userfullname": "professor_1", "created": "2025-02-27T02:30:00", "modified": "2025-02-27T02:30:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "Attribute#2 Tested Feature/Function (Text, e.g., \"Final Exam Registration, Messages\") \u2013 Specifies which part of Neptun was tested <--interesting approach\nAttribute#3 Tested Page Section (Text, e.g., \"Dashboard, Personal Data, Messages\") \u2013 Helps pinpoint where the issue occurs <--interesting approach\nAttribute#4 Error Description (Text, e.g., \"Button missing, UI shifts in portrait mode\") \u2013 Describes the specific issue <-- this approximation should be worked out in a deep/detailed level\nAttribute#9 Fix Suggestion (Text, e.g., \"Rearrange UI elements, Fix redirection issue\") \u2013 Provides possible solutions <-- <--interesting approach\n... <--- summa summarum: very creative suggestions! Good job!", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 89, "charcount": 605}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_14
created: 2025-03-18 18:05:00.000000
modified: 2025-03-18 18:05:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
Proposed Attributes for the OAM

1. Device Information
Test Date (DD.MM.YYYY: The date when the anomaly was recorded)
Phone Brand (Text: e.g., Samsung, Apple, Xiaomi, OnePlus)
Phone Model (Text: e.g., iPhone 15 Pro, Redmi Note 12, Galaxy S23 Ultra)
Operating System Version (Text: e.g., Android 14, iOS 17, MIUI Global 14.0.3)
Firmware Build Number (Text: e.g., OxygenOS 13.1, EMUI 13.1, One UI 6.0)
2. User & URL Context
User Role (Text: e.g., Student, Teacher, Administrator)
URL-Level 1 (Text: Base URL, e.g., https://neptun.kodolanyi.hu/)
URL-Level 2 (Text: Section-Level URL, e.g., https://neptun.kodolanyi.hu/Hallgato_NG/)
URL-Level 3 (Text: Specific Page, e.g., https://neptun.kodolanyi.hu/Hallgato_NG/dashboard)
URL-Level 4 (Text: Deeper navigation levels if applicable)
3. Anomaly Classification & Technical Aspects
Anomaly Type (Categorical: e.g., UI bug, missing element, incorrect redirect, conceptual parameter error, text overflow issue)
Evidence Type (Categorical: Static (Screenshot) or Dynamic (Video/.mp4))
Login Requirement (Categorical: Login needed / Login not needed)
Landscape Mode Fix (Categorical: YES (issue resolved in landscape mode) / NO (issue remains unchanged))
Reproducibility/Frequency (Categorical: Always, Often, Sporadically, Rarely)
4. Device Hardware Attributes (Impacting UI & Performance)
Display Size (Inches: e.g., 6.1”, 6.7”)
Display Technology (Text: e.g., LCD, OLED, AMOLED, LTPO OLED)
Screen Resolution (Pixels: width × height, e.g., 1080 × 2400 px)
Processor Model (Text: e.g., Qualcomm Snapdragon 8 Gen 2, Exynos 2400, Apple A17 Pro)
RAM Size (GB: e.g., 6GB, 8GB, 12GB)
Storage Capacity (GB: e.g., 128GB, 256GB, 512GB)
Battery Capacity (mAh: e.g., 4000mAh, 5000mAh)
Wireless Charging Support (Yes/No: Whether the device supports wireless charging)
5G Support (Yes/No: Device compatibility with 5G networks)
Wi-Fi Standard (Text: e.g., Wi-Fi 5, Wi-Fi 6, Wi-Fi 6E, Wi-Fi 7)
Bluetooth Version (Text: e.g., Bluetooth 5.0, Bluetooth 5.3, Bluetooth 5.4)
Water Resistance Rating (IP Level: e.g., IP67, IP68, IPX4)
Device Weight (Grams: e.g., 185g, 210g)
Screen Refresh Rate (Hertz: e.g., 60Hz, 90Hz, 120Hz, 165Hz)

raw_payload:
{"id": 165385, "discussion": 63566, "parent": 165183, "userid": 42461, "userfullname": "student_14", "created": "2025-03-18T18:05:00", "modified": "2025-03-18T18:05:00", "mailed": 1, "subject": "Re: Neptun anomalies in mobile phones", "message": "Proposed Attributes for the OAM\n\n1. Device Information\nTest Date (DD.MM.YYYY: The date when the anomaly was recorded)\nPhone Brand (Text: e.g., Samsung, Apple, Xiaomi, OnePlus)\nPhone Model (Text: e.g., iPhone 15 Pro, Redmi Note 12, Galaxy S23 Ultra)\nOperating System Version (Text: e.g., Android 14, iOS 17, MIUI Global 14.0.3)\nFirmware Build Number (Text: e.g., OxygenOS 13.1, EMUI 13.1, One UI 6.0)\n2. User & URL Context\nUser Role (Text: e.g., Student, Teacher, Administrator)\nURL-Level 1 (Text: Base URL, e.g., https://neptun.kodolanyi.hu/)\nURL-Level 2 (Text: Section-Level URL, e.g., https://neptun.kodolanyi.hu/Hallgato_NG/)\nURL-Level 3 (Text: Specific Page, e.g., https://neptun.kodolanyi.hu/Hallgato_NG/dashboard)\nURL-Level 4 (Text: Deeper navigation levels if applicable)\n3. Anomaly Classification & Technical Aspects\nAnomaly Type (Categorical: e.g., UI bug, missing element, incorrect redirect, conceptual parameter error, text overflow issue)\nEvidence Type (Categorical: Static (Screenshot) or Dynamic (Video/.mp4))\nLogin Requirement (Categorical: Login needed / Login not needed)\nLandscape Mode Fix (Categorical: YES (issue resolved in landscape mode) / NO (issue remains unchanged))\nReproducibility/Frequency (Categorical: Always, Often, Sporadically, Rarely)\n4. Device Hardware Attributes (Impacting UI & Performance)\nDisplay Size (Inches: e.g., 6.1\u201d, 6.7\u201d)\nDisplay Technology (Text: e.g., LCD, OLED, AMOLED, LTPO OLED)\nScreen Resolution (Pixels: width \u00d7 height, e.g., 1080 \u00d7 2400 px)\nProcessor Model (Text: e.g., Qualcomm Snapdragon 8 Gen 2, Exynos 2400, Apple A17 Pro)\nRAM Size (GB: e.g., 6GB, 8GB, 12GB)\nStorage Capacity (GB: e.g., 128GB, 256GB, 512GB)\nBattery Capacity (mAh: e.g., 4000mAh, 5000mAh)\nWireless Charging Support (Yes/No: Whether the device supports wireless charging)\n5G Support (Yes/No: Device compatibility with 5G networks)\nWi-Fi Standard (Text: e.g., Wi-Fi 5, Wi-Fi 6, Wi-Fi 6E, Wi-Fi 7)\nBluetooth Version (Text: e.g., Bluetooth 5.0, Bluetooth 5.3, Bluetooth 5.4)\nWater Resistance Rating (IP Level: e.g., IP67, IP68, IPX4)\nDevice Weight (Grams: e.g., 185g, 210g)\nScreen Refresh Rate (Hertz: e.g., 60Hz, 90Hz, 120Hz, 165Hz)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 296, "charcount": 1859}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-18 18:54:00.000000
modified: 2025-03-18 18:54:00.000000
subject: Re: Neptun anomalies in mobile phones
message:
Congratulation! This interpretation is really useful for the whole challenge! The possible attributes have not only definitions but also option values! God job, Sir! It would even be better, if the option values are completed with all real possibilities being mentioned in the recommendations of the other Students...

raw_payload:
{"id": 165387, "discussion": 63566, "parent": 165385, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-18T18:54:00", "modified": "2025-03-18T18:54:00", "mailed": 0, "subject": "Re: Neptun anomalies in mobile phones", "message": "Congratulation! This interpretation is really useful for the whole challenge! The possible attributes have not only definitions but also option values! God job, Sir! It would even be better, if the option values are completed with all real possibilities being mentioned in the recommendations of the other Students...", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 48, "charcount": 270}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-03 13:21:00.000000
modified: 2025-03-03 13:30:00.000000
subject: Concept testing (specialities of the cryptography)
message:
https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level.xlsx Please, try to understand, try to derive what kind of relationships can be identified between the numbers in the XLSX-file?! General challenge: could be automated the guessing process for the following question: what concept (A,B,C) has the most direct relationship to the displayed numbers of an e-car? Deadline for the first KNUTH-based ideas: 2025.III.05.-24:00 (Knuth-based idea means: only reproducible steps might be described!) You can consult ChatGPT/Copilot/etc., but only such kind of whispered ideas should be published, which can immediately be realized by you. Before creating a new entry: each idea should be executed!(This mentality will also be important in case of writing the final theses...)

raw_payload:
{"id": 165245, "discussion": 63587, "parent": 0, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-03T13:21:00", "modified": "2025-03-03T13:30:00", "mailed": 1, "subject": "Concept testing (specialities of the cryptography)", "message": "https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level.xlsx Please, try to understand, try to derive what kind of relationships can be identified between the numbers in the XLSX-file?! General challenge: could be automated the guessing process for the following question: what concept (A,B,C) has the most direct relationship to the displayed numbers of an e-car?\u00a0Deadline for the first KNUTH-based ideas: 2025.III.05.-24:00 (Knuth-based idea means: only reproducible steps might\u00a0be described!)\u00a0You can consult ChatGPT/Copilot/etc., but only such kind of whispered ideas should be published, which can immediately be realized by you. Before creating a new entry: each idea should be executed!(This mentality will also be important in case of writing the final theses...)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 108, "charcount": 685}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_20
created: 2025-03-05 19:13:00.000000
modified: 2025-03-05 19:13:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
To determine which concept has the most direct relation to the e-car's numbers , an Excel correlation table can be used. As illustrated in the image below, Concept B shows the highest average correlation, indicating that it has the strongest relationship with the e-car numbers.Reproducible steps:First, enable the Analysis ToolPak in Excel.
Go to File, then Options, then Add-ins. At the bottom, click “Go” next to “Manage Excel Add-ins,” check the box for Analysis ToolPak, and click OK. 
This lets you use advanced tools.

Next, create a correlation matrix. 
Click the Data tab, then click Data Analysis. Choose “Correlation” and click OK. Select all your data columns (like A, B, C) including the labels in the first row. Check “Labels in First Row” so Excel knows your first row has titles. 
Pick a blank spot in your sheet to show the results and click OK. 
Excel will create a correlation table.

Now, calculate the average correlation for each concept. 
For each concept’s row, use the AVERAGE() formula. 
For example, your first concept’s data is in cells B7 to F7 ( 5 parameters ), type =AVERAGE(B7:F7) in an empty cell in a corresponding row, and press Enter. 
Do this for all concepts.

Finally, compare the averages. The concept with the highest average number (closer to 1 means a stronger relationship) has the most direct link to E-car numbers.

raw_payload:
{"id": 165252, "discussion": 63587, "parent": 165245, "userid": 46675, "userfullname": "student_20", "created": "2025-03-05T19:13:00", "modified": "2025-03-05T19:13:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "To determine which concept has the most direct relation to the e-car's numbers , an Excel correlation table can be used. As illustrated in the image below, Concept B shows the highest average correlation, indicating that it has the strongest relationship with the e-car numbers.Reproducible steps:First, enable the Analysis ToolPak in Excel.\nGo to File, then Options, then Add-ins. At the bottom, click \u201cGo\u201d next to \u201cManage Excel Add-ins,\u201d check the box for Analysis ToolPak, and click OK. \nThis lets you use advanced tools.\n\nNext, create a correlation matrix. \nClick the Data tab, then click Data Analysis. Choose \u201cCorrelation\u201d and click OK. Select all your data columns (like A, B, C) including the labels in the first row.\u00a0Check \u201cLabels in First Row\u201d so Excel knows your first row has titles. \nPick a blank spot in your sheet to show the results and click OK. \nExcel will create a correlation table.\n\nNow, calculate the average correlation for each concept. \nFor each concept\u2019s row, use the AVERAGE() formula. \nFor example, your first concept\u2019s data is in cells B7 to F7 ( 5 parameters ), type =AVERAGE(B7:F7) in an empty cell in a corresponding row, and press Enter. \nDo this for all concepts.\n\nFinally, compare the averages. The concept with the highest average number (closer to 1 means a stronger relationship) has the most direct link to E-car numbers.", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 229, "charcount": 1125}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_4
created: 2025-03-05 20:42:00.000000
modified: 2025-03-05 20:42:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
Please find attached my submission for the concept testing task. I have included:
-A Knuth-based document that details my reproducible, step-by-step analysis of the e-car consumption concepts.-A PDF export of my Jupyter Notebook, which contains all the data processing, calculations, visualizations, and statistical analyses.
This submission demonstrates a clear, reproducible approach to testing the relationships between the raw e-car data and the consumption concepts (A, B, C). Every step—from data conversion to baseline consumption calculation and correlation analysis—is fully documented in attach.

raw_payload:
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dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-05 21:33:00.000000
modified: 2025-03-05 21:33:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
Question: May we calculate average correlation for +/- values? (c.f. +0.99 AND -0.99 --> 0.00 - althogh the correlations are massive given).
Question: How can we derive the hidden calculation formulas for the different concepts based on the raw attributes?

raw_payload:
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dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_19
created: 2025-03-05 21:41:00.000000
modified: 2025-03-05 21:41:00.000000
subject: Tárgy: Concept testing (specialities of the cryptography)
message:
1. Normalize the Data (Scaling for Fair Comparison)
Since the e-car statistics have different units (e.g., time in seconds, power in kW, distance in meters), we need to normalize them.

Use Min-Max Scaling to bring all values between 0 and 1 using this formula:

X_normalized = (X - X_min) / (X_max - X_min)

How to Normalize in Excel:
In a new column next to each parameter, apply the formula:
=(X - MIN(range)) / (MAX(range) - MIN(range))
Replace X with the cell reference for your data.
Replace range with the column range of that parameter.
Drag the formula down for all rows.
Repeat for all numerical columns (time, power, distance, speed, etc.).
2. Create a Correlation Matrix
After normalizing, calculate the correlation between e-car statistics and the three concepts.

Steps in Excel:
Enable Data Analysis ToolPak

Go to File → Options → Add-ins
Select Excel Add-ins → Go
Check Analysis ToolPak and click OK
Generate a Correlation Matrix

Go to Data → Data Analysis → Correlation
Select all the normalized data columns (including A, B, and C concepts).
Check Labels in First Row so Excel recognizes headers.
Choose an output range to display results.
Click OK to generate the matrix.
3. Compute the Average Correlation per Concept
Once the correlation matrix is generated, calculate the average correlation for each concept.

Steps in Excel:
Next to the correlation matrix, create a column titled Average Correlation.
For each concept (A, B, C), apply the AVERAGE formula:
=AVERAGE(range)
Replace range with the row range of correlations for that concept.
Compare the values:
The highest value indicates the concept most directly related to e-car statistics.
Final Interpretation
If Concept B has the highest average correlation, it means Concept B is the best match to the displayed e-car data.
If another concept has the highest correlation, it means that concept is most related to the e-car parameters.

raw_payload:
{"id": 165262, "discussion": 63587, "parent": 165245, "userid": 46678, "userfullname": "student_19", "created": "2025-03-05T21:41:00", "modified": "2025-03-05T21:41:00", "mailed": 1, "subject": "T\u00e1rgy: Concept testing (specialities of the cryptography)", "message": "1. Normalize the Data (Scaling for Fair Comparison)\nSince the e-car statistics have different units (e.g., time in seconds, power in kW, distance in meters), we need to normalize them.\n\nUse Min-Max Scaling to bring all values between 0 and 1 using this formula:\n\nX_normalized = (X - X_min) / (X_max - X_min)\n\nHow to Normalize in Excel:\nIn a new column next to each parameter, apply the formula:\n=(X - MIN(range)) / (MAX(range) - MIN(range))\nReplace X with the cell reference for your data.\nReplace range with the column range of that parameter.\nDrag the formula down for all rows.\nRepeat for all numerical columns (time, power, distance, speed, etc.).\n2. Create a Correlation Matrix\nAfter normalizing, calculate the correlation between e-car statistics and the three concepts.\n\nSteps in Excel:\nEnable Data Analysis ToolPak\n\nGo to File \u2192 Options \u2192 Add-ins\nSelect Excel Add-ins \u2192 Go\nCheck Analysis ToolPak and click OK\nGenerate a Correlation Matrix\n\nGo to Data \u2192 Data Analysis \u2192 Correlation\nSelect all the normalized data columns (including A, B, and C concepts).\nCheck Labels in First Row so Excel recognizes headers.\nChoose an output range to display results.\nClick OK to generate the matrix.\n3. Compute the Average Correlation per Concept\nOnce the correlation matrix is generated, calculate the average correlation for each concept.\n\nSteps in Excel:\nNext to the correlation matrix, create a column titled Average Correlation.\nFor each concept (A, B, C), apply the AVERAGE formula:\n=AVERAGE(range)\nReplace range with the row range of correlations for that concept.\nCompare the values:\nThe highest value indicates the concept most directly related to e-car statistics.\nFinal Interpretation\nIf Concept B has the highest average correlation, it means Concept B is the best match to the displayed e-car data.\nIf another concept has the highest correlation, it means that concept is most related to the e-car parameters.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 311, "charcount": 1598}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-05 21:42:00.000000
modified: 2025-03-05 21:42:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
Benchmark: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63587#p165252
Benchmark conclusion (visualized and rule-like defined): Concept B seems to be the winner.
Critical aspect: +/- correlation may not be used for averages
Focused reply: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63587#p165253
Focused conclusion: winner = ???
Critical aspect: "clear, reproducible approach to testing the relationships between the raw e-car data and the consumption concepts (A, B, C)" without an final answer for the particular question (... what concept (A,B,C) has the most direct relationship to the displayed numbers of an e-car? )
Next step: How can we derive the hidden calculation formulas for the different concepts based on the raw attributes?

raw_payload:
{"id": 165263, "discussion": 63587, "parent": 165253, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-05T21:42:00", "modified": "2025-03-05T21:42:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "Benchmark: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63587#p165252\nBenchmark conclusion (visualized and rule-like defined): Concept B seems to be the winner.\nCritical aspect: +/- correlation may not be used for averages\nFocused reply: https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63587#p165253\nFocused conclusion: winner = ???\nCritical aspect: \"clear, reproducible approach to testing the relationships between the raw e-car data and the consumption concepts (A, B, C)\" without an final answer for the particular question (... what concept (A,B,C) has the most direct relationship to the displayed numbers of an e-car? )\nNext step: How can we derive the hidden calculation formulas for the different concepts based on the raw attributes?", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 98, "charcount": 657}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_7
created: 2025-03-05 22:04:00.000000
modified: 2025-03-05 22:04:00.000000
subject: Tárgy: Concept testing (specialities of the cryptography)
message:
Dear Professor,
Below is my analysis addressing the relationships between the e-car data and concepts (A, B, C). Using Knuth-based methodology, I automated the calculation of energy consumption per 100 km and systematically compared it to the provided concepts. My findings indicate Concept B has the strongest correlation under typical driving conditions, with Concepts A and C emerging in low-power and high-speed scenarios, respectively.
1. Datas andf ormulas
Input Columns: A: Time (sec), B: Power (kW), C: Distance (m), D: Speed (km/h), E: Speed (m/s), F: Concept A (kWh/100km), G: Concept B, H: Concept C
Calculated Columns:
Energy (kWh): =(B2 * A2)/3600 (power × time normalized to hours)
Distance (km): =C2/1000 (meters to kilometers)
Consumption (kWh/100km): =(I2/J2)*100 (energy divided by distance, scaled to 100km)
Closest Concept: =IF(ABS(K2-F2)

raw_payload:
{"id": 165264, "discussion": 63587, "parent": 165245, "userid": 46683, "userfullname": "student_7", "created": "2025-03-05T22:04:00", "modified": "2025-03-05T22:04:00", "mailed": 1, "subject": "T\u00e1rgy: Concept testing (specialities of the cryptography)", "message": "Dear Professor,\nBelow is my analysis addressing the relationships between the e-car data and concepts (A, B, C). Using Knuth-based methodology, I automated the calculation of energy consumption per 100 km and systematically compared it to the provided concepts. My findings indicate Concept B has the strongest correlation under typical driving conditions, with Concepts A and C emerging in low-power and high-speed scenarios, respectively.\n1. Datas andf ormulas\nInput Columns: A: Time (sec), B: Power (kW), C: Distance (m), D: Speed (km/h), E: Speed (m/s), F: Concept A (kWh/100km), G: Concept B, H: Concept C\nCalculated Columns:\nEnergy (kWh): =(B2 * A2)/3600 (power \u00d7 time normalized to hours)\nDistance (km): =C2/1000 (meters to kilometers)\nConsumption (kWh/100km): =(I2/J2)*100 (energy divided by distance, scaled to 100km)\nClosest Concept: =IF(ABS(K2-F2)", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 127, "charcount": 732}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-05 22:11:00.000000
modified: 2025-03-05 22:11:00.000000
subject: Re: Tárgy: Concept testing (specialities of the cryptography)
message:
This steps seems to be logical correct, but without the details, nothing can be checked step by step... c.f. https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63587#p165263 /  https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63587#p165259

raw_payload:
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dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-05 22:18:00.000000
modified: 2025-03-05 22:18:00.000000
subject: Re: Tárgy: Concept testing (specialities of the cryptography)
message:
https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level%20(2).xlsx
Please, interpret the additional cells: what is the winner-conception and why?
+
https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63587#p165263 / https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63587#p165259

raw_payload:
{"id": 165266, "discussion": 63587, "parent": 165264, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-05T22:18:00", "modified": "2025-03-05T22:18:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Concept testing (specialities of the cryptography)", "message": "https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level%20(2).xlsx\nPlease, interpret the additional cells: what is the winner-conception and why?\n+\nhttps://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63587#p165263 / https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63587#p165259", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 16, "charcount": 283}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_2
created: 2025-03-05 23:15:00.000000
modified: 2025-03-05 23:16:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
The question implies that A-concept, B-concept, and C-concept represent different ways of interpreting or calculating the e-car’s performance, and we need to find which one aligns most directly with the other variables (time, power, distance, speed).Identify Relationships Between VariablesTo find relationships, I’ll analyze how the variables might connect physically or statistically. Let’s start with some basic checks:Speed is given in both km/h and m/s. Verify if they’re consistent:
Conversion: km/h / 3.6 = m/sExample (row 1): 31 / 3.6 = 8.611 m/s (matches exactly).This holds for all rows, confirming data integrity.Distance = Speed × Time (in consistent units).Convert distance to kilometers (since consumption is kWh/100km): meter / 1000 = km.Convert speed to km/s: km/h / 3600 = km/s.Check: Distance (km) = Speed (km/s) × Time (s).
Row 1: 2083.8889 m = 2.0839 km, 31 km/h = 0.008611 km/s, 0.008611 × 242 = 2.0839 km (matches).Consumption = (Energy used) / (Distance in 100 km).Energy used = Power (kW) × Time (hours).Time in hours = sec / 3600.Distance in 100 km = meter / (100 × 1000).Formula: kWh/100km = (kW × (sec / 3600)) / (meter / 100000) = (kW × sec × 100000) / (3600 × meter).Let’s test this:Row 1: kW = 1, sec = 242, meter = 2083.8889.kWh/100km = (1 × 242 × 100000) / (3600 × 2083.8889) = 3.23.A-concept = 14.1, B-concept = 4.4, C-concept = 29. None match exactly.The calculated value (3.23) doesn’t directly match A, B, or C, suggesting the concepts might involve adjustments (e.g., efficiency factors, battery specifics, or statistical methods). Compare Concepts A, B, C to Other VariablesSince the physical formula didn’t directly yield A, B, or C, let’s use correlation to see which concept aligns most with the core variables (power, distance, speed, time). I’ll compute Pearson correlation coefficients between each concept’s kWh/100km and the other columns.A-concept:
vs. sec: 0.45vs. kW: 0.30vs. meter: 0.25vs. km/h: 0.35vs. m/s: 0.35B-concept:
vs. sec: -0.10vs. kW: -0.05vs. meter: -0.15vs. km/h: -0.20vs. m/s: -0.20C-concept:
vs. sec: 0.05vs. kW: 0.10vs. meter: 0.15vs. km/h: 0.20vs. m/s: 0.20A-concept shows the highest positive correlations, suggesting it’s more directly tied to the physical variables.Automate the Guessing ProcessTo automate:Extract Data: Parse the table into arrays for each column.Calculate Physical Baseline: Compute kWh/100km using the formula above for each row.Statistical Analysis: For each concept, calculate correlations with sec, kW, meter, km/h, and m/s.Score: Average the absolute correlation values per concept; highest score wins.Output: Concept with the strongest average correlation.ConclusionBased on my analysis, A-concept appears to have the most direct relationship with the displayed numbers, as it shows the strongest correlations. The process is reproducible and can be automated as outlined.a) Speed Consistencyb) Distance, Speed, and Timec) Energy Consumption (kWh/100km)Correlations (Approximate, based on sample execution):

raw_payload:
{"id": 165267, "discussion": 63587, "parent": 165245, "userid": 46681, "userfullname": "student_2", "created": "2025-03-05T23:15:00", "modified": "2025-03-05T23:16:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "The question implies that A-concept, B-concept, and C-concept represent different ways of interpreting or calculating the e-car\u2019s performance, and we need to find which one aligns most directly with the other variables (time, power, distance, speed).Identify Relationships Between VariablesTo find relationships, I\u2019ll analyze how the variables might connect physically or statistically. Let\u2019s start with some basic checks:Speed is given in both km/h and m/s. Verify if they\u2019re consistent:\nConversion: km/h / 3.6 = m/sExample (row 1): 31 / 3.6 = 8.611 m/s (matches exactly).This holds for all rows, confirming data integrity.Distance = Speed \u00d7 Time (in consistent units).Convert distance to kilometers (since consumption is kWh/100km): meter / 1000 = km.Convert speed to km/s: km/h / 3600 = km/s.Check: Distance (km) = Speed (km/s) \u00d7 Time (s).\nRow 1: 2083.8889 m = 2.0839 km, 31 km/h = 0.008611 km/s, 0.008611 \u00d7 242 = 2.0839 km (matches).Consumption = (Energy used) / (Distance in 100 km).Energy used = Power (kW) \u00d7 Time (hours).Time in hours = sec / 3600.Distance in 100 km = meter / (100 \u00d7 1000).Formula: kWh/100km = (kW \u00d7 (sec / 3600)) / (meter / 100000) = (kW \u00d7 sec \u00d7 100000) / (3600 \u00d7 meter).Let\u2019s test this:Row 1: kW = 1, sec = 242, meter = 2083.8889.kWh/100km = (1 \u00d7 242 \u00d7 100000) / (3600 \u00d7 2083.8889) = 3.23.A-concept = 14.1, B-concept = 4.4, C-concept = 29. None match exactly.The calculated value (3.23) doesn\u2019t directly match A, B, or C, suggesting the concepts might involve adjustments (e.g., efficiency factors, battery specifics, or statistical methods).\u00a0Compare Concepts A, B, C to Other VariablesSince the physical formula didn\u2019t directly yield A, B, or C, let\u2019s use correlation to see which concept aligns most with the core variables (power, distance, speed, time). I\u2019ll compute Pearson correlation coefficients between each concept\u2019s kWh/100km and the other columns.A-concept:\nvs. sec: 0.45vs. kW: 0.30vs. meter: 0.25vs. km/h: 0.35vs. m/s: 0.35B-concept:\nvs. sec: -0.10vs. kW: -0.05vs. meter: -0.15vs. km/h: -0.20vs. m/s: -0.20C-concept:\nvs. sec: 0.05vs. kW: 0.10vs. meter: 0.15vs. km/h: 0.20vs. m/s: 0.20A-concept shows the highest positive correlations, suggesting it\u2019s more directly tied to the physical variables.Automate the Guessing ProcessTo automate:Extract Data: Parse the table into arrays for each column.Calculate Physical Baseline: Compute kWh/100km using the formula above for each row.Statistical Analysis: For each concept, calculate correlations with sec, kW, meter, km/h, and m/s.Score: Average the absolute correlation values per concept; highest score wins.Output: Concept with the strongest average correlation.ConclusionBased on my analysis, A-concept appears to have the most direct relationship with the displayed numbers, as it shows the strongest correlations. The process is reproducible and can be automated as outlined.a) Speed Consistencyb) Distance, Speed, and Timec) Energy Consumption (kWh/100km)Correlations (Approximate, based on sample execution):", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 493, "charcount": 2556}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_17
created: 2025-03-05 23:32:00.000000
modified: 2025-03-05 23:32:00.000000
subject: Tárgy: Concept testing (specialities of the cryptography)
message:
Please find attached my submission for the concept testing task, which includes:

    The regression analysis results for concepts A, B, and C.
    A comparison of the R-squared values for each concept.
    Conditional formatting highlighting the concept with the highest R-squared value.
    An interpretation of the results and how the independent variables (Power, Distance, Speed) influence the concepts.

Enable the Analysis ToolPak
    Go to File → Options → Add-ins.
    Select Analysis ToolPak and click Go.
    Check Analysis ToolPak and click OK.
    Now, go to Data → Data Analysis → Regression.

Run Regression Analysis

We'll check how Power, Distance, and Speed influence each concept (A, B, or C).

    Open the Regression Tool:
        Go to Data → Data Analysis → Regression → Click OK.

Set Inputs for Each Concept:
    Y Range (Dependent Variable): Select the concept you want to analyze:
       For A-Concept: Select F5:F42
       For B-Concept: Select G5:G42
       For C-Concept: Select H5:H42
X Range (Independent Variables): Select B5:E42 (Power, Distance, Speed in km/h, Speed in m/s).
       Check Labels if your selection includes column names.
       Click OK, and Excel will generate regression statistics.

Interpret the Results
    Look at the R-squared value → The higher, the stronger the relationship.
    The concept (A, B, or C) with the highest R-squared is the most related.

raw_payload:
{"id": 165268, "discussion": 63587, "parent": 165245, "userid": 45293, "userfullname": "student_17", "created": "2025-03-05T23:32:00", "modified": "2025-03-05T23:32:00", "mailed": 1, "subject": "T\u00e1rgy: Concept testing (specialities of the cryptography)", "message": "Please find attached my submission for the concept testing task, which includes:\n\n    The regression analysis results for concepts A, B, and C.\n    A comparison of the R-squared values for each concept.\n    Conditional formatting highlighting the concept with the highest R-squared value.\n    An interpretation of the results and how the independent variables (Power, Distance, Speed) influence the concepts.\n\nEnable the Analysis ToolPak\n    Go to File \u2192 Options \u2192 Add-ins.\n    Select Analysis ToolPak and click Go.\n    Check Analysis ToolPak and click OK.\n    Now, go to Data \u2192 Data Analysis \u2192 Regression.\n\nRun Regression Analysis\n\nWe'll check how Power, Distance, and Speed influence each concept (A, B, or C).\n\n    Open the Regression Tool:\n        Go to Data \u2192 Data Analysis \u2192 Regression \u2192 Click OK.\n\nSet Inputs for Each Concept:\n    Y Range (Dependent Variable): Select the concept you want to analyze:\n       For A-Concept: Select F5:F42\n       For B-Concept: Select G5:G42\n       For C-Concept: Select H5:H42\nX Range (Independent Variables): Select B5:E42 (Power, Distance, Speed in km/h, Speed in m/s).\n       Check Labels if your selection includes column names.\n       Click OK, and Excel will generate regression statistics.\n\nInterpret the Results\n    Look at the R-squared value \u2192 The higher, the stronger the relationship.\n    The concept (A, B, or C) with the highest R-squared is the most related.", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 208, "charcount": 1107}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_16
created: 2025-03-05 23:33:00.000000
modified: 2025-03-05 23:33:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
Concept B is the most directly related to the displayed statistics of the e-car because it has the highest R², the highest Adjusted R², and a significant p-value for the (power) variable. This makes it the best model among the three concepts.I done by using Regression in order to goes a step further by modeling the relationship and predicting outcomes.Based on the regression analysis performed on the displayed statistics of the e-car, Concept B demonstrates the most direct relationship with the energy consumption data. This conclusion is supported by the following key findings:Highest R² Value: Concept B has the highest R² value (0.2262), indicating that it explains the most variance in energy consumption compared to Concepts A and C.Significant Predictor: The power variable in Concept B has a statistically significant p-value (0.0365), meaning it has a meaningful impact on energy consumption.Highest Adjusted R²: Concept B also has the highest Adjusted R² (0.1021), which accounts for the number of predictors and confirms a better model fit.Overall Model Significance: Concept B's regression model has the lowest Significance F value (0.0579), which is close to the 0.05 threshold, suggesting it is the most significant model overall.In contrast, Concept A shows moderate explanatory power but lacks significant predictors, while Concept C has a very low R² and no significant variables, making it the least related to the displayed statistics.In conclusion, Concept B is the most directly related to the displayed statistics of the e-car, as evidenced by its highest R² value, significant predictor (power), and overall model significance. Regression analysis was used to quantify these relationships and compare the explanatory power of each concept, making it the most appropriate method for this analysis.

raw_payload:
{"id": 165269, "discussion": 63587, "parent": 165245, "userid": 46672, "userfullname": "student_16", "created": "2025-03-05T23:33:00", "modified": "2025-03-05T23:33:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "Concept B\u00a0is the most directly related to the displayed statistics of the e-car because it has the\u00a0highest R\u00b2, the\u00a0highest Adjusted R\u00b2, and a\u00a0significant p-value\u00a0for the (power)\u00a0variable. This makes it the best model among the three concepts.I done by using Regression in order to\u00a0goes a step further by modeling the relationship and predicting outcomes.Based on the regression analysis performed on the displayed statistics of the e-car,\u00a0Concept B\u00a0demonstrates the most direct relationship with the energy consumption data. This conclusion is supported by the following key findings:Highest R\u00b2 Value: Concept B has the highest R\u00b2 value (0.2262), indicating that it explains the most variance in energy consumption compared to Concepts A and C.Significant Predictor: The\u00a0power\u00a0variable in Concept B has a statistically significant p-value (0.0365), meaning it has a meaningful impact on energy consumption.Highest Adjusted R\u00b2: Concept B also has the highest Adjusted R\u00b2 (0.1021), which accounts for the number of predictors and confirms a better model fit.Overall Model Significance: Concept B's regression model has the lowest Significance F value (0.0579), which is close to the 0.05 threshold, suggesting it is the most significant model overall.In contrast,\u00a0Concept A\u00a0shows moderate explanatory power but lacks significant predictors, while\u00a0Concept C\u00a0has a very low R\u00b2 and no significant variables, making it the least related to the displayed statistics.In conclusion,\u00a0Concept B\u00a0is the most directly related to the displayed statistics of the e-car, as evidenced by its highest R\u00b2 value, significant predictor (power), and overall model significance. Regression analysis was used to quantify these relationships and compare the explanatory power of each concept, making it the most appropriate method for this analysis.", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 288, "charcount": 1563}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_9
created: 2025-03-05 23:40:00.000000
modified: 2025-03-05 23:42:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
Key Observations:


 Concept
     B has significantly lower values compared to Concepts A and C.
 
  This
      suggests that Concept B might represent efficiency (e.g.,
      energy consumption per unit distance).
 
 Concept
     A and Concept C have higher values, which might
     represent total energy consumption or peak energy usage.


Based on the data:


 Concept
     A: Likely represents total energy consumption, as it increases with
     higher power and longer time.
 Concept
     B: Likely represents efficiency, as it reflects energy consumption
     per unit distance.
 Concept
     C: Likely represents peak energy usage, as it spikes during high
     power or high-speed conditions.


Group Data by Speed Ranges:


  Created
      speed ranges (e.g., low, medium, high) and calculate the average values
      of Concepts A, B, and C for each range.
  Example:
   Low
       Speed: 0–20 km/h
   Medium
       Speed: 20–40 km/h
   High
       Speed: 40+ km/
  



 Final Answer

Based on the analysis:


 Concept
     B (Efficiency) is the most directly related to the displayed
     statistics of an e-car. This is because it reflects energy consumption per
     unit distance, which is a key metric for electric vehicles.
 The
     hidden formula for Concept B is likely related to Energy /
     Distance.

raw_payload:
{"id": 165270, "discussion": 63587, "parent": 165245, "userid": 46667, "userfullname": "student_9", "created": "2025-03-05T23:40:00", "modified": "2025-03-05T23:42:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "Key Observations:\n\n\n Concept\n     B\u00a0has significantly lower values compared to Concepts A and C.\n \n  This\n      suggests that Concept B might represent\u00a0efficiency\u00a0(e.g.,\n      energy consumption per unit distance).\n \n Concept\n     A\u00a0and\u00a0Concept C\u00a0have higher values, which might\n     represent\u00a0total energy consumption\u00a0or\u00a0peak energy usage.\n\n\nBased on the data:\n\n\n Concept\n     A: Likely represents\u00a0total energy consumption, as it increases with\n     higher power and longer time.\n Concept\n     B: Likely represents\u00a0efficiency, as it reflects energy consumption\n     per unit distance.\n Concept\n     C: Likely represents\u00a0peak energy usage, as it spikes during high\n     power or high-speed conditions.\n\n\nGroup Data by Speed Ranges:\n\n\n  Created\n      speed ranges (e.g., low, medium, high) and calculate the average values\n      of Concepts A, B, and C for each range.\n  Example:\n   Low\n       Speed: 0\u201320 km/h\n   Medium\n       Speed: 20\u201340 km/h\n   High\n       Speed: 40+ km/\n  \n\n\n\n\u00a0Final Answer\n\nBased on the analysis:\n\n\n Concept\n     B (Efficiency)\u00a0is the most directly related to the displayed\n     statistics of an e-car. This is because it reflects energy consumption per\n     unit distance, which is a key metric for electric vehicles.\n The\n     hidden formula for\u00a0Concept B\u00a0is likely related to\u00a0Energy /\n     Distance.", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 188, "charcount": 995}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_8
created: 2025-03-05 23:48:00.000000
modified: 2025-03-05 23:48:00.000000
subject: Tárgy: Concept testing (specialities of the cryptography)
message:
The e-car data—time (seconds), power (kW), distance (meters), and speed (km/h)—I conclude that B-concept has the most direct relationship to these numbers. All three concepts (A, B, C) measure energy use in kWh/100km, but B-concept’s values (3.8–7.2) are lower and steadier.
For example, with time = 242 s, power = 1 kW, and distance = 2083.89 m, this gives ~3.22 kWh/100km, close to B-concept’s 4.4, not A’s 14.09 or C’s 29. A-concept and C-concept have wider ranges (13–25 and 11–29), hinting they use extra factors beyond the given numbers. B-concept’s simplicity and consistency make it the most directly tied to time, power and distance.

raw_payload:
{"id": 165271, "discussion": 63587, "parent": 165245, "userid": 46674, "userfullname": "student_8", "created": "2025-03-05T23:48:00", "modified": "2025-03-05T23:48:00", "mailed": 1, "subject": "T\u00e1rgy: Concept testing (specialities of the cryptography)", "message": "The e-car data\u2014time (seconds), power (kW), distance (meters), and speed (km/h)\u2014I conclude that B-concept has the most direct relationship to these numbers. All three concepts (A, B, C) measure energy use in kWh/100km, but B-concept\u2019s values (3.8\u20137.2) are lower and steadier.\nFor example, with time = 242 s, power = 1 kW, and distance = 2083.89 m, this gives ~3.22 kWh/100km, close to B-concept\u2019s 4.4, not A\u2019s 14.09 or C\u2019s 29. A-concept and C-concept have wider ranges (13\u201325 and 11\u201329), hinting they use extra factors beyond the given numbers. B-concept\u2019s simplicity and consistency make it the most directly tied to time, power and distance.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 109, "charcount": 539}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_21
created: 2025-03-05 23:59:00.000000
modified: 2025-03-05 23:59:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
To determine which concept (A, B, or C) has the most direct relationship with the e-car data, I followed a Knuth-based approach, ensuring all steps are fully reproducible.

1. Understanding the Dataset
The dataset consists of:

sec – Time in seconds
kW – Power in kilowatts
meter – Distance in meters
km/h – Speed in km/h
m/s – Speed in m/s
A_consumption, B_consumption, C_consumption – Energy consumption under three different concepts
2. Data Preprocessing (Unit Conversion)
To ensure proper analysis, I applied the following transformations:

Convert Time (sec → hours):
=A2/3600
Convert Distance (meters → km):
=B2/1000
Compute Energy Consumption (kWh):
=C2 * D2
Calculate Consumption per 100 km:
=(Energy / Distance) * 100
These steps ensure that all metrics are comparable and interpretable.

3. Statistical Analysis
3.1 Correlation Matrix (To Identify the Closest Concept)
Steps in Excel:

Enable Analysis ToolPak:
File → Options → Add-ins → Manage Excel Add-ins → Check Analysis ToolPak
Compute Correlation Matrix:
Data → Data Analysis → Correlation → Select all numerical columns → Output
Analyze Results:
The highest absolute correlation determines the best concept.
3.2 Handling Positive and Negative Correlations
Instead of directly averaging correlations, I computed absolute correlations to avoid misleading results:
Excel Formula:
=AVERAGE(ABS(H2:H10))
This ensures that strong negative correlations aren’t ignored.

4. Visualization and Insights
4.1 Correlation Heatmap
A heatmap was generated to visualize relationships between raw attributes and consumption concepts.

4.2 Boxplot Comparison
Steps in Excel:

Select A, B, and C Consumption columns.
Insert a Box & Whisker Chart (Insert → Chart).
Analyze variance:
Concept B had the most stable distribution.
4.3 Scatter Plot (Power vs Consumption)
Steps in Excel:

Select Power (kW) as the X-axis, A/B/C Consumption as the Y-axis.
Insert Scatter Plot (Insert → Scatter).
The concept with the best linear fit indicates the strongest relationship.
5. Conclusion: Identifying the Best Concept
Concept B consistently showed the highest correlation and the most stable energy consumption pattern.
Scatter plots confirmed that Concept B aligns best with power variations.
Final Answer: Concept B has the most direct relationship with the displayed e-car data.
This method ensures full reproducibility and provides an automated approach to selecting the best concept.

6. Future Work
To refine the results, additional methods like regression models, PCA, and clustering could further optimize consumption predictions.

raw_payload:
{"id": 165272, "discussion": 63587, "parent": 165245, "userid": 46682, "userfullname": "student_21", "created": "2025-03-05T23:59:00", "modified": "2025-03-05T23:59:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "To determine which concept (A, B, or C) has the most direct relationship with the e-car data, I followed a Knuth-based approach, ensuring all steps are fully reproducible.\n\n1. Understanding the Dataset\nThe dataset consists of:\n\nsec \u2013 Time in seconds\nkW \u2013 Power in kilowatts\nmeter \u2013 Distance in meters\nkm/h \u2013 Speed in km/h\nm/s \u2013 Speed in m/s\nA_consumption, B_consumption, C_consumption \u2013 Energy consumption under three different concepts\n2. Data Preprocessing (Unit Conversion)\nTo ensure proper analysis, I applied the following transformations:\n\nConvert Time (sec \u2192 hours):\n=A2/3600\nConvert Distance (meters \u2192 km):\n=B2/1000\nCompute Energy Consumption (kWh):\n=C2 * D2\nCalculate Consumption per 100 km:\n=(Energy / Distance) * 100\nThese steps ensure that all metrics are comparable and interpretable.\n\n3. Statistical Analysis\n3.1 Correlation Matrix (To Identify the Closest Concept)\nSteps in Excel:\n\nEnable Analysis ToolPak:\nFile \u2192 Options \u2192 Add-ins \u2192 Manage Excel Add-ins \u2192 Check Analysis ToolPak\nCompute Correlation Matrix:\nData \u2192 Data Analysis \u2192 Correlation \u2192 Select all numerical columns \u2192 Output\nAnalyze Results:\nThe highest absolute correlation determines the best concept.\n3.2 Handling Positive and Negative Correlations\nInstead of directly averaging correlations, I computed absolute correlations to avoid misleading results:\nExcel Formula:\n=AVERAGE(ABS(H2:H10))\nThis ensures that strong negative correlations aren\u2019t ignored.\n\n4. Visualization and Insights\n4.1 Correlation Heatmap\nA heatmap was generated to visualize relationships between raw attributes and consumption concepts.\n\n4.2 Boxplot Comparison\nSteps in Excel:\n\nSelect A, B, and C Consumption columns.\nInsert a Box & Whisker Chart (Insert \u2192 Chart).\nAnalyze variance:\nConcept B had the most stable distribution.\n4.3 Scatter Plot (Power vs Consumption)\nSteps in Excel:\n\nSelect Power (kW) as the X-axis, A/B/C Consumption as the Y-axis.\nInsert Scatter Plot (Insert \u2192 Scatter).\nThe concept with the best linear fit indicates the strongest relationship.\n5. Conclusion: Identifying the Best Concept\nConcept B consistently showed the highest correlation and the most stable energy consumption pattern.\nScatter plots confirmed that Concept B aligns best with power variations.\nFinal Answer: Concept B has the most direct relationship with the displayed e-car data.\nThis method ensures full reproducibility and provides an automated approach to selecting the best concept.\n\n6. Future Work\nTo refine the results, additional methods like regression models, PCA, and clustering could further optimize consumption predictions.", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 372, "charcount": 2191}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_10
created: 2025-03-06 00:01:00.000000
modified: 2025-03-06 00:01:00.000000
subject: Tárgy: Concept testing (specialities of the cryptography)
message:
let’s examine the columns:

sec: Time in seconds (e.g., 242, 178).
kW: Power in kilowatts (e.g., 1, 10).
meter: Distance in meters (e.g., 2083.8888888888887).
km/h: Speed in kilometers per hour (e.g., 31).
m/s: Speed in meters per second (e.g., 8.61111111111111).
A-concept, B-concept, C-concept: Three average consumption values in kWh/100km (e.g., 14.088956865653197, 4.4, 29).
The consumption values vary significantly: A-concept ranges from ~13 to 25, B-concept from 3.8 to 7.2, and C-concept from 11 to 29. This suggests they might represent different interpretations or calculations of energy efficiency, possibly tied to the other metrics.

Let’s check if the data is consistent:

Speed conversion: km/h to m/s should be km/h ÷ 3.6. For the first row: 31 ÷ 3.6 = 8.61111111111111, which matches perfectly. This holds across all rows, confirming data integrity.
Distance, speed, and time: Distance = Speed × Time. For the first row: 8.61111111111111 m/s × 242 s = 2083.8888888888887 meters, which matches exactly. This relationship (Distance = Speed_m/s × Time) holds consistently, suggesting the data reflects a physical driving scenario.
Hypothesize Consumption Relationships
Since A, B, and C are labeled as “average consumption” in kWh/100km, they likely relate energy usage to distance traveled. Consumption is typically calculated as:
Consumption (kWh/100km)
=
Energy (kWh)
Distance (km)
×
100
Consumption (kWh/100km)= 
Distance (km)
Energy (kWh)
​
 ×100
Energy can be derived from power and time: Energy (kWh) = Power (kW) × Time (h). Since time is in seconds, convert it to hours: Time (h) = Time (sec) ÷ 3600. Distance in meters needs to be converted to kilometers: Distance (km) = Distance (m) ÷ 1000.

Let’s test this for the first row:

Energy = 1 kW × (242 ÷ 3600) h = 0.0672222222 kWh.
Distance = 2083.8888888888887 m ÷ 1000 = 2.0838888888888887 km.
Consumption = (0.0672222222 ÷ 2.0838888888888887) × 100 = 3.226 kWh/100km.
This doesn’t directly match A (14.088956865653197), B (4.4), or C (29). The calculated value is lower, suggesting the concepts might not be instantaneous consumption but averages over a different context (e.g., a full trip), or they include additional factors.


Since direct calculation didn’t align, let’s analyze how A, B, and C correlate with the physical metrics:

Correlation with Speed (km/h): Higher speeds might increase consumption due to aerodynamic drag. Compute Pearson correlations:
A-concept vs. Speed: Ranges from 13.25 at 10 km/h to 25.81 at 34 km/h—strong positive trend.
B-concept vs. Speed: 3.8 at 25 km/h to 7.2 at 34 km/h—moderate increase.
C-concept vs. Speed: 11 to 29, but less consistent (e.g., 29 at 24 km/h and 38 km/h).
Correlation with Power (kW): More power might imply higher consumption.
A-concept increases with kW (e.g., 13.25 at 1 kW to 24.44 at 10 kW).
B-concept and C-concept show weaker patterns.
A-concept seems most sensitive to speed and power, suggesting it might reflect real-time or physics-based consumption.

To automate identifying the “most direct relationship”:

Normalize Units: Convert all distances to km, times to hours, and compute Energy = Power × Time.
Calculate Theoretical Consumption: For each row, compute Energy/Distance × 100.
Compare to Concepts: Measure the absolute difference or correlation between calculated consumption and A, B, C.
Score Consistency: The concept with the smallest average difference or highest correlation to theoretical consumption is the “most direct.”
For the first row, differences are large (A: 10.86, B: 1.17, C: 25.77), but B is closest. Across rows, B’s values (3.8–7.2) are often nearer to theoretical values than A’s or C’s, though none match perfectly.

Conclusion
Concept B

raw_payload:
{"id": 165273, "discussion": 63587, "parent": 165245, "userid": 46677, "userfullname": "student_10", "created": "2025-03-06T00:01:00", "modified": "2025-03-06T00:01:00", "mailed": 1, "subject": "T\u00e1rgy: Concept testing (specialities of the cryptography)", "message": "let\u2019s examine the columns:\n\nsec: Time in seconds (e.g., 242, 178).\nkW: Power in kilowatts (e.g., 1, 10).\nmeter: Distance in meters (e.g., 2083.8888888888887).\nkm/h: Speed in kilometers per hour (e.g., 31).\nm/s: Speed in meters per second (e.g., 8.61111111111111).\nA-concept, B-concept, C-concept: Three average consumption values in kWh/100km (e.g., 14.088956865653197, 4.4, 29).\nThe consumption values vary significantly: A-concept ranges from ~13 to 25, B-concept from 3.8 to 7.2, and C-concept from 11 to 29. This suggests they might represent different interpretations or calculations of energy efficiency, possibly tied to the other metrics.\n\nLet\u2019s check if the data is consistent:\n\nSpeed conversion: km/h to m/s should be km/h \u00f7 3.6. For the first row: 31 \u00f7 3.6 = 8.61111111111111, which matches perfectly. This holds across all rows, confirming data integrity.\nDistance, speed, and time: Distance = Speed \u00d7 Time. For the first row: 8.61111111111111 m/s \u00d7 242 s = 2083.8888888888887 meters, which matches exactly. This relationship (Distance = Speed_m/s \u00d7 Time) holds consistently, suggesting the data reflects a physical driving scenario.\nHypothesize Consumption Relationships\nSince A, B, and C are labeled as \u201caverage consumption\u201d in kWh/100km, they likely relate energy usage to distance traveled. Consumption is typically calculated as:\nConsumption\u00a0(kWh/100km)\n=\nEnergy\u00a0(kWh)\nDistance\u00a0(km)\n\u00d7\n100\nConsumption\u00a0(kWh/100km)= \nDistance\u00a0(km)\nEnergy\u00a0(kWh)\n\u200b\n \u00d7100\nEnergy can be derived from power and time: Energy (kWh) = Power (kW) \u00d7 Time (h). Since time is in seconds, convert it to hours: Time (h) = Time (sec) \u00f7 3600. Distance in meters needs to be converted to kilometers: Distance (km) = Distance (m) \u00f7 1000.\n\nLet\u2019s test this for the first row:\n\nEnergy = 1 kW \u00d7 (242 \u00f7 3600) h = 0.0672222222 kWh.\nDistance = 2083.8888888888887 m \u00f7 1000 = 2.0838888888888887 km.\nConsumption = (0.0672222222 \u00f7 2.0838888888888887) \u00d7 100 = 3.226 kWh/100km.\nThis doesn\u2019t directly match A (14.088956865653197), B (4.4), or C (29). The calculated value is lower, suggesting the concepts might not be instantaneous consumption but averages over a different context (e.g., a full trip), or they include additional factors.\n\n\nSince direct calculation didn\u2019t align, let\u2019s analyze how A, B, and C correlate with the physical metrics:\n\nCorrelation with Speed (km/h): Higher speeds might increase consumption due to aerodynamic drag. Compute Pearson correlations:\nA-concept vs. Speed: Ranges from 13.25 at 10 km/h to 25.81 at 34 km/h\u2014strong positive trend.\nB-concept vs. Speed: 3.8 at 25 km/h to 7.2 at 34 km/h\u2014moderate increase.\nC-concept vs. Speed: 11 to 29, but less consistent (e.g., 29 at 24 km/h and 38 km/h).\nCorrelation with Power (kW): More power might imply higher consumption.\nA-concept increases with kW (e.g., 13.25 at 1 kW to 24.44 at 10 kW).\nB-concept and C-concept show weaker patterns.\nA-concept seems most sensitive to speed and power, suggesting it might reflect real-time or physics-based consumption.\n\nTo automate identifying the \u201cmost direct relationship\u201d:\n\nNormalize Units: Convert all distances to km, times to hours, and compute Energy = Power \u00d7 Time.\nCalculate Theoretical Consumption: For each row, compute Energy/Distance \u00d7 100.\nCompare to Concepts: Measure the absolute difference or correlation between calculated consumption and A, B, C.\nScore Consistency: The concept with the smallest average difference or highest correlation to theoretical consumption is the \u201cmost direct.\u201d\nFor the first row, differences are large (A: 10.86, B: 1.17, C: 25.77), but B is closest. Across rows, B\u2019s values (3.8\u20137.2) are often nearer to theoretical values than A\u2019s or C\u2019s, though none match perfectly.\n\nConclusion\nConcept B", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 577, "charcount": 3137}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_3
created: 2025-03-06 00:28:00.000000
modified: 2025-03-06 00:28:00.000000
subject: Tárgy: Concept testing (specialities of the cryptography)
message:
Here, I've worked in this project by observing other student worked on correlations, and then I tried to derive the hidden calculation formulas that you asked other students about. To do that I used some reproducible methods including correlation analysis (as I mentioned before), decision-tree-style logic, and regression-inspired techniques, ensuring clarity and reproducibility as per Knuth-based principles.

raw_payload:
{"id": 165274, "discussion": 63587, "parent": 165245, "userid": 46668, "userfullname": "student_3", "created": "2025-03-06T00:28:00", "modified": "2025-03-06T00:28:00", "mailed": 1, "subject": "T\u00e1rgy: Concept testing (specialities of the cryptography)", "message": "Here, I've worked in this project by observing other student worked on correlations, and then I tried to derive\u00a0the hidden calculation formulas that you asked other students about. To do that I\u00a0used some reproducible methods including correlation analysis (as I mentioned before), decision-tree-style logic, and regression-inspired techniques, ensuring clarity and reproducibility as per Knuth-based principles.", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 57, "charcount": 358}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-06 08:27:00.000000
modified: 2025-03-06 08:32:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
The question implies that A-concept, B-concept, and C-concept represent different ways of interpreting or calculating the e-car’s performance <--this assumption must not be correct at all (this is even a part of the concept testing whether the different concepts can have a relationship to the row data or even not...To find relationships, I’ll analyze how the variables might connect physically or statistically. <--one of the statistical approach can be seen in the correlation-based solutions before. What is however a physical approach?Based on my analysis, <--the steps of this analysis are not given e.g. in an Excel-file for detailed testing...

raw_payload:
{"id": 165276, "discussion": 63587, "parent": 165267, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-06T08:27:00", "modified": "2025-03-06T08:32:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "The question implies that A-concept, B-concept, and C-concept represent different ways of interpreting or calculating the e-car\u2019s performance <--this assumption must not be correct at all (this is even a part of the concept testing whether the different concepts can have a relationship to the row data or even not...To find relationships, I\u2019ll analyze how the variables might connect physically or statistically. <--one of the statistical approach can be seen in the correlation-based solutions before. What is however a physical approach?Based on my analysis, <--the steps of this analysis are not given e.g. in an Excel-file for detailed testing...", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 101, "charcount": 554}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-06 08:49:00.000000
modified: 2025-03-06 08:59:00.000000
subject: Re: Tárgy: Concept testing (specialities of the cryptography)
message:
Regression models are also a rational approaches. The tricky question is: who said, that raw data units of a particular row should have relationships to each others? (c.f. https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level%20(3).xlsx)

raw_payload:
{"id": 165278, "discussion": 63587, "parent": 165268, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-06T08:49:00", "modified": "2025-03-06T08:59:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Concept testing (specialities of the cryptography)", "message": "Regression models are also a rational approaches. The tricky question is: who said, that raw data units of a particular row should have relationships to each others? (c.f.\u00a0https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level%20(3).xlsx)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 29, "charcount": 229}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-06 08:58:00.000000
modified: 2025-03-06 08:58:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
If we have more than one descriptive attribute for evaluating objects (here and now: concepts), then it is relevant to work in an anti-discriminative way: https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level%20(4).xlsx

raw_payload:
{"id": 165279, "discussion": 63587, "parent": 165269, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-06T08:58:00", "modified": "2025-03-06T08:58:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "If we have more than one descriptive attribute for evaluating objects (here and now: concepts), then it is relevant to work in an anti-discriminative way: https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level%20(4).xlsx", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 26, "charcount": 213}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-06 09:08:00.000000
modified: 2025-03-06 09:09:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
Please, never use an Excel-file for notices! Excel files MUST always be constructed as a chain of fomulas! Only raw values are cells without any formulas! (c.f. https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level%20(5).xlsx)

raw_payload:
{"id": 165281, "discussion": 63587, "parent": 165270, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-06T09:08:00", "modified": "2025-03-06T09:09:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "Please, never use an Excel-file for notices! Excel files MUST always be constructed as a chain of fomulas! Only raw values are cells without any formulas! (c.f.\u00a0https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level%20(5).xlsx)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 28, "charcount": 219}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-06 09:16:00.000000
modified: 2025-03-06 09:16:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
I followed a Knuth-based approach, ensuring all steps are fully reproducible. <--there is no e.g. XLSX-file about the realised steps for further interpretations...

raw_payload:
{"id": 165282, "discussion": 63587, "parent": 165272, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-06T09:16:00", "modified": "2025-03-06T09:16:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "I followed a Knuth-based approach, ensuring all steps are fully reproducible. <--there is no e.g. XLSX-file about the realised steps for further interpretations...", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 23, "charcount": 141}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-06 09:21:00.000000
modified: 2025-03-06 09:26:00.000000
subject: Re: Tárgy: Concept testing (specialities of the cryptography)
message:
I conclude <-- the task is always the same: producing reproducible solutions... Texts will never be reproducible solutions, e.g. an Excel-file makes possible the step-by-step-interpretation without any disturbing details and/or lacks...

raw_payload:
{"id": 165283, "discussion": 63587, "parent": 165271, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-06T09:21:00", "modified": "2025-03-06T09:26:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Concept testing (specialities of the cryptography)", "message": "I conclude <-- the task is always the same: producing reproducible solutions... Texts will never be reproducible solutions, e.g. an Excel-file makes possible the step-by-step-interpretation without any disturbing details and/or lacks...", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 31, "charcount": 206}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-06 09:23:00.000000
modified: 2025-03-06 09:25:00.000000
subject: Re: Tárgy: Concept testing (specialities of the cryptography)
message:
digits after the comma <--it is forbidden (especially later in the final thesis) to use more digits, than necesary (here e.g mx. 2).
To automate identifying the “most direct relationship” <-- the task is always the same: producing reproducible solutions... Texts will never be reproducible solutions, e.g. an Excel-file makes possible the step-by-step-interpretation without any disturbing details and/or lacks...

raw_payload:
{"id": 165284, "discussion": 63587, "parent": 165273, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-06T09:23:00", "modified": "2025-03-06T09:25:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Concept testing (specialities of the cryptography)", "message": "digits after the comma <--it is forbidden (especially later in the final thesis) to use more digits, than necesary (here e.g mx. 2).\nTo automate identifying the \u201cmost direct relationship\u201d <-- the task is always the same: producing reproducible solutions... Texts will never be reproducible solutions, e.g. an Excel-file makes possible the step-by-step-interpretation without any disturbing details and/or lacks...", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 59, "charcount": 355}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-06 09:28:00.000000
modified: 2025-03-06 09:28:00.000000
subject: Re: Tárgy: Concept testing (specialities of the cryptography)
message: https://miau.my-x.hu/miau/320/concept_testing/E-Car%20Concept%20testing.docx
raw_payload:
{"id": 165285, "discussion": 63587, "parent": 165274, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-06T09:28:00", "modified": "2025-03-06T09:28:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Concept testing (specialities of the cryptography)", "message": "https://miau.my-x.hu/miau/320/concept_testing/E-Car%20Concept%20testing.docx", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 1, "charcount": 76}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_4
created: 2025-03-06 13:12:00.000000
modified: 2025-03-06 13:12:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
I wanted to share the results of my analysis using Solver in Excel, where I focused exclusively on Concept B. Solver successfully minimized the objective function while ensuring all constraints were met. The variable cells ($Q$1 and $R$1) were adjusted, leading to a significant reduction in the objective value from 13,378.03 to 22.96.The reports confirm that the optimization was strictly focused on Concept B, as only the related variables were modified. The Sensitivity and Limits Reports further support this by showing how these specific variables influenced the outcome. This process has helped me better understand how Solver works in decision-making and optimization.

raw_payload:
{"id": 165287, "discussion": 63587, "parent": 165263, "userid": 46671, "userfullname": "student_4", "created": "2025-03-06T13:12:00", "modified": "2025-03-06T13:12:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "I wanted to share the results of my analysis using Solver in Excel, where I focused exclusively on Concept B. Solver successfully minimized the objective function while ensuring all constraints were met. The variable cells ($Q$1 and $R$1) were adjusted, leading to a significant reduction in the objective value from 13,378.03 to 22.96.The reports confirm that the optimization was strictly focused on Concept B, as only the related variables were modified. The Sensitivity and Limits Reports further support this by showing how these specific variables influenced the outcome. This process has helped me better understand how Solver works in decision-making and optimization.", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 103, "charcount": 575}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-06 15:23:00.000000
modified: 2025-03-06 15:23:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
Is there any connection between column N and column P (c.f. https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level%20(6).xlsx)?
The cell-orientation means: which formula and which cells with raw data lead to a particular cell of a concept? Is there such a pattern?

raw_payload:
{"id": 165289, "discussion": 63587, "parent": 165287, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-06T15:23:00", "modified": "2025-03-06T15:23:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "Is there any connection between column N and column P (c.f. https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level%20(6).xlsx)?\nThe cell-orientation means: which formula and which cells with raw data lead to a particular cell of a concept? Is there such a pattern?", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 36, "charcount": 247}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-07 11:24:00.000000
modified: 2025-03-07 11:24:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
The first approaches are given for the task of the concept testing.
Everybody interpreted the task-OAM row-wise.
BUT: who said (c.f. expected cell-oriented approaches?) that each row is one ideal "sentence"?
Please, try to interpret the new OAM with 3*5 columns: 
https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level.xlsx

raw_payload:
{"id": 165293, "discussion": 63587, "parent": 165245, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-07T11:24:00", "modified": "2025-03-07T11:24:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "The first approaches are given for the task of the concept testing.\nEverybody interpreted the task-OAM row-wise.\nBUT: who said (c.f. expected cell-oriented approaches?) that each row is one ideal \"sentence\"?\nPlease, try to interpret the new OAM with 3*5 columns: \nhttps://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level.xlsx", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 42, "charcount": 299}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_20
created: 2025-03-08 23:06:00.000000
modified: 2025-03-08 23:08:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
Which concept can be derived based on the displayed information units of an e-car? (concept testing and/or specialties of the cryptography) --> Regression: Reveals how raw data cells (e.g., speed in specific intervals) impact outcomes, enabling smarter engineering and strategy. Cryptographic Hashing: Ensures data integrity for reliable analysis.

raw_payload:
{"id": 165309, "discussion": 63587, "parent": 165293, "userid": 46675, "userfullname": "student_20", "created": "2025-03-08T23:06:00", "modified": "2025-03-08T23:08:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "Which concept can be derived based on the displayed information units of an e-car? (concept testing and/or specialties of the cryptography) -->\u00a0Regression: Reveals how raw data cells (e.g., speed in specific intervals) impact outcomes, enabling smarter engineering and strategy.\u00a0Cryptographic Hashing:\u00a0Ensures data integrity for reliable analysis.", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 48, "charcount": 303}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-08 23:51:00.000000
modified: 2025-03-08 23:51:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level%20(7).xlsx <-- Unfortunatelly, regression models are not capable of exploring causal relationships in general... 
What is the difference between the models with 5 attributes (from one single row) and with 15 attributes (based on 3 rows)?

raw_payload:
{"id": 165310, "discussion": 63587, "parent": 165309, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-08T23:51:00", "modified": "2025-03-08T23:51:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level%20(7).xlsx <-- Unfortunatelly, regression models are not capable of exploring causal relationships in general... \nWhat is the difference between the models with 5 attributes (from one single row) and with 15 attributes (based on 3 rows)?", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 36, "charcount": 274}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_8
created: 2025-03-15 06:09:00.000000
modified: 2025-03-15 06:09:00.000000
subject: Re: Tárgy: Concept testing (specialities of the cryptography)
message:
Attached is the revised Excel file with a corrected formula for calculated consumption. The new average differences confirm B-concept is most directly related to the displayed numbers, with the smallest deviation.

raw_payload:
{"id": 165366, "discussion": 63587, "parent": 165283, "userid": 46674, "userfullname": "student_8", "created": "2025-03-15T06:09:00", "modified": "2025-03-15T06:09:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Concept testing (specialities of the cryptography)", "message": "Attached is the revised Excel file with a corrected formula for calculated consumption.\u00a0The new average differences confirm B-concept is most directly related to the displayed numbers, with the smallest deviation.", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 31, "charcount": 184}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-15 09:39:00.000000
modified: 2025-03-15 09:42:00.000000
subject: Re: Tárgy: Concept testing (specialities of the cryptography)
message:
Very-very important approach: https://miau.my-x.hu/miau/320/concept_testing/?C=M;O=D
BUT: Who said/who may say, that a hidden values of the approximated physical consumption are the only formula-based relationship in the OAM? Parallel: Nobody could still produce a relationship between cells existing not in the same row, although this alert is already given in this thread (https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level.xlsx - task2)!

raw_payload:
{"id": 165367, "discussion": 63587, "parent": 165366, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-15T09:39:00", "modified": "2025-03-15T09:42:00", "mailed": 1, "subject": "Re: T\u00e1rgy: Concept testing (specialities of the cryptography)", "message": "Very-very important approach: https://miau.my-x.hu/miau/320/concept_testing/?C=M;O=D\nBUT: Who said/who may say, that a hidden values of the approximated physical consumption are the only formula-based relationship in the OAM? Parallel: Nobody could still produce a relationship between cells existing not in the same row, although this alert is already given in this thread (https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level.xlsx - task2)!", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 53, "charcount": 410}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-15 09:50:00.000000
modified: 2025-03-15 09:50:00.000000
subject: Re: Concept testing (specialities of the cryptography)
message:
Please, try to interpret, what can really be seen in the task3-sheet (https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level.xlsx)? 
Assumped, that "covered agents" have stolen this figure for us, is this task3-figure supportive for the challenge: which concept is the better concept? (c.f. https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63587#p165367)

raw_payload:
{"id": 165368, "discussion": 63587, "parent": 165245, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-15T09:50:00", "modified": "2025-03-15T09:50:00", "mailed": 1, "subject": "Re: Concept testing (specialities of the cryptography)", "message": "Please, try to interpret, what can really be seen in the task3-sheet (https://miau.my-x.hu/miau/320/concept_testing/concept_testing_task_level.xlsx)? \nAssumped, that \"covered agents\" have stolen this figure for us, is this task3-figure supportive for the challenge: which concept is the better concept? (c.f. https://moodle.kodolanyi.hu/mod/forum/discuss.php?d=63587#p165367)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 38, "charcount": 337}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-09 09:16:00.000000
modified: 2025-03-09 09:16:00.000000
subject: Moodle-anomalies
message:
Please, try to detect/explore new anomalies in the Moodle system! Demo: https://miau.my-x.hu/miau/320/moodle_testing/Moodle_testing.docx

raw_payload:
{"id": 165311, "discussion": 63606, "parent": 0, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-09T09:16:00", "modified": "2025-03-09T09:16:00", "mailed": 1, "subject": "Moodle-anomalies", "message": "Please, try to detect/explore new anomalies in the Moodle system!\u00a0Demo:\u00a0https://miau.my-x.hu/miau/320/moodle_testing/Moodle_testing.docx", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 12, "charcount": 127}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_4
created: 2025-03-09 13:28:00.000000
modified: 2025-03-09 13:28:00.000000
subject: Re: Moodle-anomalies
message: Anomaly Report: Drag-and-Drop File Upload Issue in e-Portfolio
raw_payload:
{"id": 165312, "discussion": 63606, "parent": 165311, "userid": 46671, "userfullname": "student_4", "created": "2025-03-09T13:28:00", "modified": "2025-03-09T13:28:00", "mailed": 1, "subject": "Re: Moodle-anomalies", "message": "Anomaly Report: Drag-and-Drop File Upload Issue in e-Portfolio", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 8, "charcount": 55}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-09 17:52:00.000000
modified: 2025-03-09 17:52:00.000000
subject: Re: Moodle-anomalies
message:
Stored version for further steps: https://miau.my-x.hu/miau/320/moodle_testing/?C=M;O=D 
(Neptun-anomalies are already reported to the KJU-experts being responsible for Neptun-issues...)

raw_payload:
{"id": 165313, "discussion": 63606, "parent": 165312, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-09T17:52:00", "modified": "2025-03-09T17:52:00", "mailed": 1, "subject": "Re: Moodle-anomalies", "message": "Stored version for further steps: https://miau.my-x.hu/miau/320/moodle_testing/?C=M;O=D \n(Neptun-anomalies are already reported to the KJU-experts being responsible for Neptun-issues...)", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 17, "charcount": 169}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_8
created: 2025-03-09 18:43:00.000000
modified: 2025-03-09 18:43:00.000000
subject: Re: Moodle-anomalies
message: Moodle anomaly: Anomaly in Moodle's Language Selection Menu When Using Browser Translation
raw_payload:
{"id": 165314, "discussion": 63606, "parent": 165311, "userid": 46674, "userfullname": "student_8", "created": "2025-03-09T18:43:00", "modified": "2025-03-09T18:43:00", "mailed": 1, "subject": "Re: Moodle-anomalies", "message": "Moodle anomaly:\u00a0Anomaly in Moodle's Language Selection Menu When Using Browser Translation", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 12, "charcount": 80}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-09 19:47:00.000000
modified: 2025-03-09 19:47:00.000000
subject: Re: Moodle-anomalies
message: https://miau.my-x.hu/miau/320/moodle_testing/?C=M;O=D
raw_payload:
{"id": 165316, "discussion": 63606, "parent": 165314, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-09T19:47:00", "modified": "2025-03-09T19:47:00", "mailed": 1, "subject": "Re: Moodle-anomalies", "message": "https://miau.my-x.hu/miau/320/moodle_testing/?C=M;O=D", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 1, "charcount": 53}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: student_10
created: 2025-03-09 19:49:00.000000
modified: 2025-03-09 19:51:00.000000
subject: Re: Moodle-anomalies
message: Moodle anomaly: Moodle e-Portfolio Navigation Issue
raw_payload:
{"id": 165317, "discussion": 63606, "parent": 165311, "userid": 46677, "userfullname": "student_10", "created": "2025-03-09T19:49:00", "modified": "2025-03-09T19:51:00", "mailed": 1, "subject": "Re: Moodle-anomalies", "message": "Moodle anomaly: Moodle e-Portfolio Navigation Issue", "messageformat": 1, "messagetrust": 0, "attachment": 1, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 6, "charcount": 46}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-09 20:08:00.000000
modified: 2025-03-09 20:08:00.000000
subject: Re: Moodle-anomalies
message: https://miau.my-x.hu/miau/320/moodle_testing/?C=M;O=D
raw_payload:
{"id": 165318, "discussion": 63606, "parent": 165317, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-09T20:08:00", "modified": "2025-03-09T20:08:00", "mailed": 1, "subject": "Re: Moodle-anomalies", "message": "https://miau.my-x.hu/miau/320/moodle_testing/?C=M;O=D", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 1, "charcount": 53}


dataset_id: 8d484a2b-5960-4af2-beda-149298df2085
userfullname: professor_1
created: 2025-03-10 09:09:00.000000
modified: 2025-03-10 09:09:00.000000
subject: Re: Moodle-anomalies
message:
The previous experiences were not used for a correct description strategy (see: type = anonymized): https://miau.my-x.hu/miau/320/moodle_testing/

raw_payload:
{"id": 165320, "discussion": 63606, "parent": 165311, "userid": 34004, "userfullname": "professor_1", "created": "2025-03-10T09:09:00", "modified": "2025-03-10T09:09:00", "mailed": 1, "subject": "Re: Moodle-anomalies", "message": "The previous experiences were not used for a correct description strategy (see: type = anonymized): https://miau.my-x.hu/miau/320/moodle_testing/", "messageformat": 1, "messagetrust": 0, "attachment": 0, "totalscore": 0, "mailnow": 0, "deleted": 0, "privatereplyto": 0, "privatereplytofullname": null, "wordcount": 16, "charcount": 130}


