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QuILT 2.0 – Popular-science-level in exam-situations or it would be possible even more? = AI-based modelling the term of decadence
Leading article: 2020. June (MIAU No. 262.)
(Previous article: MIAU No. 261.)
Keywords: robot-teacher, knowledge acquisition, knowledge management, competence, competency, decadence-index, artificial intelligence-based term-creation, robot-historian, robot-sociologist, robot-psychologist, digitalisation, Industry 4.0, automation
Abstract: This part of the asynchronous distance education/learning integrates again more layers like the previous part did concerning the 2DM-games and the Food-Kaleidoscope. Here, the history, sociology, psychology – especially their robotized approaches will be presented in frame of the artificial intelligence-based (or even solver- and similarity-oriented) term-creation where the term of decadence will be derived. Parallel to the already published future-readiness-index, the decadence index makes possible to speak about high-levelled abstraction in a data-driven, reproducible way – which is a totally inverse approach compared to the general used magic of words. The frame of all these thinking and real experiments is the reality of the final exams and its trend where the level of the demonstrated knowledge is lower and lower along the time and the recent level is frequently under the benchmark of the level of the average popular science. The decreasing level of the exam-challenges and the phenomenon of decadence in general let start a kind of “early” warning system – although these decreasing processes can be observed for decades.
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