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Modelling and Data Analysis
2020. Vol. 10, no. 3, 39–52
doi:10.17759/mda.2020100303
ISSN: 2219-3758 / 2311-9454 (online)

Model of Adaptive Learning and His Implementation

116

D.A. Pominov

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Abstract

The presented project is aimed at automating the e-learning process regarding the acquisition of practical skills for solving non-formalized tasks, determining the level of knowledge and reducing the duration of training by reducing the number of tasks depending on the level of training. To meet these requirements, an adaptive testing approach was implemented and “Adaptive trainer” web-service was implemented to demonstrate how it works.

General Information

Keywords: adaptive training, markov random process, adaptive trainer, self-learning systems, information systems implementation

Journal rubric: Software

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2020100303

Funding. This work has been funded by the Moscow State University of Psychology and Education.

For citation: Pominov D.A. Model of Adaptive Learning and His Implementation. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2020. Vol. 10, no. 3, pp. 39–52. DOI: 10.17759/mda.2020100303. (In Russ., аbstr. in Engl.)

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Information About the Authors

Denis A. Pominov, Research Scholar, Computer Science Faculty, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-1321-3713, e-mail: pominovda@mgppu.ru

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