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JOURNALS // Informatika i Ee Primeneniya [Informatics and its Applications] // Archive

Inform. Primen., 2019 Volume 13, Issue 4, Pages 11–17 (Mi ia622)

This article is cited in 4 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

DOI: 10.14357/19922264190402



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