Application of machine learning methods in assessing the activities of an educational organization of a higher school
- Authors: Bozieva A.M.1, Tseeva F.M.2, Khatukhova D..2
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Affiliations:
- Scientific and Educational Center of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences
- Institute of Informatics, Electronics and Robotics of KBSU
- Issue: No 3 (2023)
- Pages: 11-19
- Section: System analysis, management and information processing
- Submitted: 20.11.2025
- Published: 04.02.2026
- URL: https://journals.rcsi.science/1991-6639/article/view/352275
- DOI: https://doi.org/10.35330/1991-6639-2023-3-113-11-19
- EDN: https://elibrary.ru/AQTQHZ
- ID: 352275
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Abstract
This article solves the problem of developing a program code for evaluating the activities of educational institutions of higher education on the basis of a set of indicators. The indicators of previous university assessments and their final results are used as input data. Machine learning with a teacher based on a multiple linear regression algorithm is used to successfully solve the problem, which allows us to identify patterns for an adequate assessment. These patterns are revealed on the basis of data accumulated during the activities of universities, and the experience existing in educational practice in assessing universities. As a result, the developed program code based on the available data gives an assessment of the university with a certain accuracy.
About the authors
Asiyat Mukhtarovna Bozieva
Scientific and Educational Center of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences
Email: bozieva.asya@mail.ru
ORCID iD: 0000-0002-1124-2289
postgraduate student
Russian Federation, 360010, Russia, Nalchik, 2 Balkarov streetFatimat Mukhamedovna Tseeva
Institute of Informatics, Electronics and Robotics of KBSU
Email: mfmkbsu@mail.ru
ORCID iD: 0000-0001-7203-3571
Associate Professor of the Department of Mechatronics and Robotics
Russian Federation, 360004, Russia, Nalchik, 173 Chernyshevsky streetDana Vladimirovna Khatukhova
Institute of Informatics, Electronics and Robotics of KBSU
Author for correspondence.
Email: dkhatukhova@list.ru
ORCID iD: 0009-0009-0190-8823
Senior Lecturer of the Department of Information Technologies in the Management of Technical Systems
Russian Federation, 360004, Russia, Nalchik, 173 Chernyshevsky streetReferences
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