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This article is cited in 2 scientific papers (total in 2 papers)
Bayesian approach to the construction of an individual user trajectory in the system of distance learning
A. V. Bosovab, Ya. G. Martyushovab, A. V. Naumovb, A. P. Sapunovab a Institute of Informatics Problems, Federal Research Center “Computer Sciences and Control” of the Russian Academy of Sciences; 44-2 Vavilov Str., Moscow 119133, Russian Federation
b Moscow State Aviation Institute (National Research University), 4 Volokolamskoe Shosse, Moscow 125933, Russian Federation
Abstract:
The paper considers the task of forming an individual user path for a distance learning system (LMS) with a mixed form of conducting educational activities with organization of independent work of students using LMS. At the end of each section of the training course, the LMS users are divided into categories determined by the solution of the Bayesian classification problem. For each category, an individual task of a different level of complexity is proposed for the next section of the course, thus forming the individual trajectory of the student. The Bayesian classifier is set up based on statistics of work of the users of LMS. The experimental results of solving the problem at one of the stages of training are presented.
Keywords:
distance learning system, Bayesian classifier, adaptive systems, individual learning path.
Received: 01.06.2020
Citation:
A. V. Bosov, Ya. G. Martyushova, A. V. Naumov, A. P. Sapunova, “Bayesian approach to the construction of an individual user trajectory in the system of distance learning”, Inform. Primen., 14:3 (2020), 86–93
Linking options:
https://www.mathnet.ru/eng/ia684 https://www.mathnet.ru/eng/ia/v14/i3/p86
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