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This article is cited in 2 scientific papers (total in 2 papers)
Using the model of gamma distribution in the problem of forming a time-limited test in a distance learning system
A. V. Bosova, G. A. Mkhitaryanb, A. V. Naumovb, A. P. Sapunovab a Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
b Moscow State Aviation Institute (National Research University), 4 Volokolamskoe Shosse, Moscow 125933, Russian Federation
Abstract:
For the distance learning systems, consideration is given to generation of
individual tasks with minimization of execution time. As a criterion, the convolution
of two weighted normalized values associated with the deviation of the complexity of
the generated test from the specified level and the quantile of the test execution time
is used. The gamma distribution model is used to describe a model of a student's
random response time to a task. An algorithm is proposed for estimating the
parameters of the gamma distribution for each task. It is assumed that task
complexities are determined either by an expert or by using corresponding algorithms
based on the Rush model. The results of a numerical experiment are presented.
Keywords:
distance learning system, statistical analysis, adaptive systems, quantile optimization.
Received: 30.05.2019
Citation:
A. V. Bosov, G. A. Mkhitaryan, A. V. Naumov, A. P. Sapunova, “Using the model of gamma distribution in the problem of forming a time-limited test in a distance learning system”, Inform. Primen., 13:4 (2019), 11–17
Linking options:
https://www.mathnet.ru/eng/ia622 https://www.mathnet.ru/eng/ia/v13/i4/p11
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Abstract page: | 179 | Full-text PDF : | 157 | References: | 27 |
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