Abstract
The article describes the process of intelligent modeling of pedagogical situations using artificial neural networks, built on the basis of the analysis of cognitive patterns of human information processing, allows the development of effective decision support systems and forecasting learning systems. The experience of creating neural network systems is presented: to predict the success/failure of a student’s project activities with the development of recommendations for selecting a perspective project task; to predict student decision to attend/skip classes based on student personal qualities, aims and lesson schedules.
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Lapenok, M., Lozinskaya, A., Likhacheva, V. (2021). Cognitive Issues in Intelligent Modeling of Pedagogical Task. In: Latifi, S. (eds) ITNG 2021 18th International Conference on Information Technology-New Generations. Advances in Intelligent Systems and Computing, vol 1346. Springer, Cham. https://doi.org/10.1007/978-3-030-70416-2_45
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DOI: https://doi.org/10.1007/978-3-030-70416-2_45
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