Decision Support in the Educational Process of the University based on a Cognitive Learning Model using a Neural Network
https://doi.org/10.25205/1818-7900-2024-22-4-33-48
Abstract
The paper discusses the use of neural network technology to support decision-making in the educational process of a university using a cognitive learning model. A software solution has been developed for a digital profile of a student based on an electronic portfolio of students, using artificial intelligence algorithms, modern web technologies, as well as cognitive learning models. The neural network was trained on prepared student data, which was obtained using a specially developed psychodiagnostic complex. Using a digital profile allows students to track their learning process based on recommendations offered by a neural network, make optimal decisions, build personalized educational trajectories, and also adjust educational learning trajectories.
About the Authors
A. P. KlishinRussian Federation
Andrey P. Klishin, Candidate of Physical and Mathematical Sciences, Head of the Lab Student Research Laboratory of Information Technologies UIT
Tomsk
E. S. Shtalina
Russian Federation
Ekaterina S. Shtalina, Bachelor
Tomsk
F. Dzh. Pirakov
Russian Federation
Farrukh D. Pirakov, Graduate Student of the Department of automation of information processing
Tomsk
L. V. Akhmetova
Russian Federation
Lyudmila V. Akhmetova, Candidate of Psychological Sciences, Associate Professor of the Department of Psychology and Personality Development
Tomsk
N. L. Eryomina
Russian Federation
Natalia L. Eryomina, Candidate of Technical Sciences, Associate Professor of the Department of System Analysis and Math Modeling
Tomsk
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Review
For citations:
Klishin A.P., Shtalina E.S., Pirakov F.D., Akhmetova L.V., Eryomina N.L. Decision Support in the Educational Process of the University based on a Cognitive Learning Model using a Neural Network. Vestnik NSU. Series: Information Technologies. 2024;22(4):33-48. (In Russ.) https://doi.org/10.25205/1818-7900-2024-22-4-33-48