Development of the Information System for Psychological Diagnostics

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Abstract

The article deals with the information system, which is a prototype of an adaptive simulator created on the basis of the realization of Markov processes for psychological diagnostics, adapting the difficulty and complexity of tasks in accordance with the diagnostic assessment in real time. The description of the system for adaptive diagnostics of user readiness level based on Markov models is presented. The system allows estimating the user's readiness level by giving him/her tasks of different difficulty and complexity according to the Markov process. An algorithm for creating tasks with a high order of detailing the complexity gradient, on the example of the subject area of professional counseling, for the purpose of diagnosing abilities is formed. In case of incorrect answers or exceeding time limits, the user falls into a "trap" where he/she receives simpler tasks with hints. Examples illustrating the application of the information system are given, as well as the results of approbation.

General Information

Keywords: computer adaptive simulator, Markov process, psychological diagnosis, information system, artificial intelligence

Journal rubric: Software

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2023130406

Funding. The research 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 № 073-00038-23-02 from 13.02.2023.

Received: 16.11.2023

Accepted:

For citation: Savenkov E.A., Katyshev D.A., Ermakov S.S., Yuryeva N.E. Development of the Information System for Psychological Diagnostics. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2023. Vol. 13, no. 4, pp. 111–125. DOI: 10.17759/mda.2023130406. (In Russ., аbstr. in Engl.)

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Information About the Authors

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

Dmitriy A. Katyshev, Junior Researcher, Laboratory "Information Technologies for Psychological Diagnostics", Moscow State University of Psychology & Education, Moscow, Russia, ORCID: https://orcid.org/0009-0002-7900-6431, e-mail: katyshevda@mgppu.ru

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

Nataliya E. Yuryeva, PhD in Engineering, Head of Laboratory, Youth Laboratory Information Technologies for Psychological Diagnostics, Research Fellow, Information Technology Center for Psychological Studies of the Computer Science Faculty, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0003-1419-876X, e-mail: yurieva.ne@gmail.com

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