Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
ASSESSING THE IMPORTANCE OF DYNAMIC FEATURES OF ACADEMIC PERFORMANCE USING MACHINE LEARNING MODELS DURING DISTANCE EDUCATION CAUSED BY COVID-19
Form of presentationArticles in international journals and collections
Year of publication2023
Языканглийский
  • Gafarov Fail Mubarakovich, author
  • Gilemzyanov Almaz Firdinantovich, author
  • Ustin Pavel Nikolaevich, author
  • Bibliographic description in the original language Yunusov V, Gafarov F, Gilemzyanov A, Assessing The Importance of Dynamic Features of Academic Performance Using Machine Learning Models During Distance Education Caused By COVID-19//2023 5th International Conference on Cybernetics and Intelligent Systems, ICORIS 2023. - 2023. - Vol., Is.. - .
    Keywords Deep learning,COVID-19, Computer aided instruction, Analytical models,Machine learning algorithms,Pandemics , Education
    The name of the journal 2023 5th International Conference on Cybernetics and Intelligent Systems, ICORIS 2023
    URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182403963&doi=10.1109%2fICORIS60118.2023.10352185&partnerID=40&md5=dced01b670d38b3143f2fe89189a8d24
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=295087&p_lang=2

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