This article is cited in 1 scientific paper (total in 1 paper)
Modeling individualization of the learning process in the form of web conference using a hierarchical fuzzy expert system
A. S. Alekseychuk, A. V. Panteleev
Faculty of Applied Mathematics and Physics, Moscow Aviation Institute (National Research University), 4 Volokolamskoye Highway, A-80, GSP-3, Moscow 125993, Russian Federation
The paper describes a model of educational process in the form of web conference. The problem of individualization of learning process for each student is solved by selecting the appropriate level of difficulty for each lesson. The proposed method of individualization is implemented using artificial intelligence methods. The paper describes a software system that implements distance learning in the form of web conference as well as management of the learning process with a built-in hierarchical fuzzy expert system. This system assigns the most recommended level of difficulty of the upcoming lessons to each student using available initial data about the student and his or her previous grades. The system automatically generates a schedule where students with similar levels of performance are grouped together. An example of calculations made by the expert system is provided.
distance learning; web conference; expert system; hierarchical fuzzy inference.
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A. S. Alekseychuk, A. V. Panteleev, “Modeling individualization of the learning process in the form of web conference using a hierarchical fuzzy expert system”, Inform. Primen., 11:1 (2017), 90–99
Citation in format AMSBIB
\by A.~S.~Alekseychuk, A.~V.~Panteleev
\paper Modeling individualization of the learning process in the form of web conference using a hierarchical fuzzy expert system
\jour Inform. Primen.
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Volkova T.B., Korotkova T.I., “Application of Information Technologies When Training in the Master'S Degree Program”, International Conference Problems of Thermal Physics and Power Engineering (PTPPE-2017), Journal of Physics Conference Series, 891, IOP Publishing Ltd, 2017, UNSP 012372
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