Analysis the Possibilities of the Computerized Adaptive Approach to the Problems of Psychological Diagnostics and Training

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Abstract

The article discusses the advantages and prospects for the implementation of an adaptive approach in the tasks of computerized ability testing, standardization of diagnostic methods and development of simulators for teaching professional skills in the zone of proximal development (development of "soft skills" and "hard skills"). The results of the analysis of the reliability of tests using an adaptive approach and comparison of the obtained results with the classical paper and computer form of ability diagnostics are presented. An assessment of the effectiveness and advantages of this approach to determining the level of complexity of test items using the method of convolution of applied Markov models into quantum representations is presented. The effectiveness of the method on small samples has been proved.

General Information

Keywords: adaptive approach, computerized adaptive testing, psychological diagnostics

Journal rubric: Psychodiagnostics

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2023160312

Funding. The reported study was carried out with the financial support of the Ministry of Education of the Russian Federation (Ministry of Education of Russia) within the framework of the scientific project No. 073-00038-23-02 dated February 13, 2023.

Received: 14.03.2023

Accepted:

For citation: Ermakov S.S., Savenkov E.A., Shepeleva E.A. Analysis the Possibilities of the Computerized Adaptive Approach to the Problems of Psychological Diagnostics and Training. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2023. Vol. 16, no. 3, pp. 182–196. DOI: 10.17759/exppsy.2023160312. (In Russ., аbstr. in Engl.)

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Information About the Authors

Sergey S. Ermakov, PhD in Psychology, Senior Researcher of the Laboratory "Information Technologies for Psychological Diagnostics" Associate Professor of the Department of "Age Psychology named after Professor L.F.Obukhova" of the Faculty of "Psychology of Education", Associate Professor of the Department of "Applied Mathematics" of the Faculty of "Information Technology"., Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0003-4330-2618, e-mail: ermakovss@mgppu.ru

Egor A. Savenkov, Junior Researcher, Laboratory "Information Technologies for Psychological Diagnostics", Moscow State University of Psychology & Education, Moscow, Russia, ORCID: https://orcid.org/0009-0009-8510-0468, e-mail: easavenkov42@gmail.com

Elena A. Shepeleva, PhD in Psychology, Senior Research Fellow of the Sector "Center for Cognitive Research of the Digital Educational Environment" CIRCC, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0001-9867-6524, e-mail: shepelevaea@mgppu.ru

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