Model of Adaptive Learning and His Implementation-Reference-Cited by-同舟云学术

Model of Adaptive Learning and His Implementation

Published:2020 Issue:3 Volume:10 Page:39-52
ISSN:2219-3758
Container-title:Моделирование и анализ данных
language:
Short-container-title:

Author:

Pominov D.A.¹^ORCID

Affiliation:

1. Moscow State University of Psychology and Education

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.

Funder

Moscow State University of Psychology and Education

Publisher

Federal State-Financed Educational Institution of Higher Education Moscow State University of Psychology and Education

Subject

General Medicine

Link

https://psyjournals.ru/files/118785/mda_2020_n3_Pominov.pdf

Reference24 articles.

1. Kuravsky L.S., Artemenkov S.L., Yuriev G.A., Grigorenko E.L. New approach to computer-based adaptive testing. â Experimental Psychology. 2017. Vol. 10. No. 3. Pp. 33â45. doi:10.17759/exppsy. 2017100303 (in Russian).

2. Kuravsky L.S., Kulik S.D., Marmalyuk P.A., Yuriev G.A. Certifi cate of state registration of the useful model â 118095 A device for modeling adaptive testing of cognitive abilities of the subject. â Application â 2012105993/08; decraled 21 February 2012; registered 10 July 2012. â (ROSPATENT).

3. Kuravsky L.S., Margolis A.A., Marmalyuk P.A., Yuriev G.A., Dumin P.N. Trainable Markov models in tasks of optimization of the order of presentation of psychological tests // Neurocomputers: Development and Application. 2013. No. 4. pp. 28â38 (in Russian).

4. Kuravsky L.S., Margolis A.A., Marmalyuk P.A., Panfi lova A.S. , Yuriev G.A. Mathematical aspects of the adaptive trainer concept â Psychological Science and Education. 2016. Vol. 21. No. 2. Pp. 84â95. doi: 10.17759/pse.2016210210 (in Russian).

5. Kuravsky L.S., Margolis A.A., Yuriev G.A., Pominov D.A. Concept of self-learning adaptive trainer // Neurocomputers: Development and Application. 2018. No 3. pp. 29â37 (in Russian).

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Concept of an Adaptive Trainer and Assessing Its Effectiveness in a Mathematical Application;Моделирование и анализ данных;2021