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Modelling and Data Analysis
2025. Vol. 15, no. 3, 47–55
doi:10.17759/mda.2025150303
ISSN: 2219-3758 / 2311-9454 (online)

Artificial intelligence in psychodiagnostics: cognitive states in a digital educational environment

 
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Abstract

The article discusses the task of building multimodal AI models for diagnosing the cognitive state of students (concentration, fatigue, stress) in digital educational environments. The necessity of transition from traditional methods of psychodiagnostics to automated systems based on natural language processing, computer vision and behavioral analysis is substantiated. A mathematical model based on the CNN-LSTM hybrid architecture with the adaptation of parameters to individual cognitive profiles is proposed. The structure of the model is described, recommendations for its construction and integration into the digital educational infrastructure are given. The problems of interpretability, privacy, and sustainability of such models, as well as the prospects for their application, are discussed.

General Information

Keywords: cognitive state, multimodal analysis, artificial intelligence, neural networks, personalized learning, digital environment

Journal rubric: Data Analysis

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2025150303

Received 22.08.2025

Revised 01.09.2025

Accepted

Published

For citation: Yuryeva, N.E. (2025). Artificial intelligence in psychodiagnostics: cognitive states in a digital educational environment. Modelling and Data Analysis, 15(3), 47–55. (In Russ.). https://doi.org/10.17759/mda.2025150303

© Yuryeva N.E., 2025

License: CC BY-NC 4.0

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Information About the Authors

Nataliya E. Yuryeva, Candidate of Science (Engineering), Head of the Laboratory of Information Technologies for Psychological Diagnostics, Research Fellow of the Laboratory of Quantitative Psychology of the Center for Information Technologies for Psychological Research of the Faculty of Information Technology, Executive Secretary of the journal "Modeling and Data Analysis", Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-1419-876X, e-mail: yurieva.ne@gmail.com

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