Mathematical Aspects of the Concept of Adaptive Training Device

Author:

Kuravsky L.S.1,Margolis A.A.2,Marmalyuk P.A.2,Panfilova A.S.2,Yuryev G.A.2ORCID

Affiliation:

1. Moscow State University of Psychology and Education

2. Moscow State University of Psychology & Education

Abstract

The paper presents a concept of an adaptive training system implied for electronic learning that supports the choice of tasks according to parametric models. This approach is an alternative to the adaptive technologies based on item response theory (IRT). The features of the diagnostic methods underlying the choice of tasks presented in tests include, firstly, the account of the dynamics in an individual’s levels of performance and in the time s/he needs to complete the test, and, secondly, the lesser amount of tasks required to be presented in the training session.

Publisher

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

Subject

Developmental and Educational Psychology,Education,Social Psychology,Psychology (miscellaneous)

Reference15 articles.

1. 1S: Elektronnoe obuchenie [Elektronnyi resurs] [1C: E-learning]. URL: http://v8.1c.ru/elo (Accessed 06.02.2016).

2. Kuravsky L.S., Kulik S.D., Marmalyuk P.A., Yuryev G.A. Patent na poleznuyu model’ №118095, Rossiiskaya Federatsiya (RU), kl. MPK G 09 B 23/02. Ustroistvo dlya modelirovaniya adaptivnogo testirovaniya kognitivnykh sposobnostei ispytuemogo [A device for modeling subject’s cognitive abilities adaptive testing procedure] / L.S. Kuravsky, S.D. Kulik, P.A. Marmalyuk, G.A. Yuryev (Rossiya). Zayavka №2012105993/08, 21.02.2012; Zaregistr. 10.07.2012; Opublikovano 10.07.2012 Byul. №19; Prioritet ot 21.02.2012. (ROSPATENT).

3. Kuravsky L.S., Margolis A.A., Marmalyuk P.A., Yuryev G.A., Dumin P.N. Obuchaemye markovskie modeli v zadachakh optimizatsii poryadka pred”yavleniya psikhologicheskikh testov [Trained Markov models to optimize the order of tasks in psychological testing]. Neirokomp’yutery: razrabotka i primenenie [Neurocomputers: development and application], 2013, no. 4, pp. 28–38.

4. Kuravsky L.S., Margolis A.A., Marmalyuk P.A., Yuryev G.A., Dumin P.N., Kulik S.D. Patent na poleznuyu model’ №122796, Rossiiskaya Federatsiya (RU) kl. MPK G09B 31/07. Sistema podderzhki prinyatiya reshenii dlya psikhologicheskogo i pedagogicheskogo testirovaniya [Decision support system for psychological and pedagogical testing]. / L.S. Kuravsky, A.A. Margolis, P.A. Marmalyuk, G.A. Yuryev, P.N. Dumin, S.D. Kulik (Rossiya). Zayavka №2012132684/08, 31.07.2012; Opublikovano 10.12.2012, Byul. №34; Prioritet ot 31.07.2012 (ROSPATENT).

5. Kuravsky L.S., Margolis A.A., Yuryev G.A. Psikhologicheskii trening na osnove neirosetevoi tekhnologii [Psychological training based on neural network technology]. Neirokomp’yutery: razrabotka i primenenie [Neurocomputers: development and application], 2009, no. 9, pp. 20–26.

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