Geodesic
Application of machine learning methods in assessing the activities of an educational organization of a higher school
News of the Kabardin-Balkar scientific center of RAS, no. 3 (2023), pp. 11-19.

Voir la notice de l'article provenant de la source Math-Net.Ru

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.
Keywords: educational organizations, forecasting, performance evaluation, machine learning
Mots-clés : regression. 
@article{IZKAB_2023_3_a0,
     author = {A. M. Bozieva and F. M. Tseeva and D. V. Khatukhova},
     title = {Application of machine learning methods in assessing the activities of an educational organization of a higher school},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {11--19},
     publisher = {mathdoc},
     number = {3},
     year = {2023},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2023_3_a0/}
}
TY  - JOUR
AU  - A. M. Bozieva
AU  - F. M. Tseeva
AU  - D. V. Khatukhova
TI  - Application of machine learning methods in assessing the activities of an educational organization of a higher school
JO  - News of the Kabardin-Balkar scientific center of RAS
PY  - 2023
SP  - 11
EP  - 19
IS  - 3
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/IZKAB_2023_3_a0/
LA  - ru
ID  - IZKAB_2023_3_a0
ER  - 
%0 Journal Article
%A A. M. Bozieva
%A F. M. Tseeva
%A D. V. Khatukhova
%T Application of machine learning methods in assessing the activities of an educational organization of a higher school
%J News of the Kabardin-Balkar scientific center of RAS
%D 2023
%P 11-19
%N 3
%I mathdoc
%U http://geodesic.mathdoc.fr/item/IZKAB_2023_3_a0/
%G ru
%F IZKAB_2023_3_a0
A. M. Bozieva; F. M. Tseeva; D. V. Khatukhova. Application of machine learning methods in assessing the activities of an educational organization of a higher school. News of the Kabardin-Balkar scientific center of RAS, no. 3 (2023), pp. 11-19. http://geodesic.mathdoc.fr/item/IZKAB_2023_3_a0/

[1] A. M. Bozieva, F. Kh. Dzamikhova, “A model of an intelligent system based on fuzzy logic in the tasks of evaluating the activities of a higher educational institution”, News of the Kabardino Balkarian Scientific Center of RAS, 2023, no. 1 (111), 11–17 (In Russian) | DOI | DOI

[2] I. O. Kotlyarova, “Artificial intelligence technologies in education”, Bulletin of the South Ural State University. Education. Pedagogical Sciences, 14:3 (2022), 69–82 (In Russian) | DOI

[3] N. G. Poletaeva, “Classification of machine learning systems”, Bulletin of the Baltic Federal University n.a I. Kant. Physical, mathematical and technical sciences, 2020, no. 1, 5–22 (In Russian) | MR

[4] Sh. Sh. Shai, B. D. Shai, Understanding Machine Learning: From Theory to Algorithms, Cambridge University Press, Cambridge, 2014, 410 pp. | Zbl

[5] H. Brink, Joseph W. Richards, M. Fetherolf, Real-World Machine Learning, Manning Publications, New-York, 2014, 264 pp.

[6] V. V. V'yugin, Mathematical Foundations of Machine Learning and Prediction, MTsNMO, Moscow, 2022, 400 pp. (In Russian)

[7] A. Gelman, J. Hill, A. Vehtari, Regression and Other Stories, Analytical Methods for Social Research, Cambridge University Press, Cambridge, 2020, 548 pp. | MR

[8] T. Saati, Decision Making: Hierarchy Analysis Method, Transl. from Eng. R. G. Vachnadze, Radio i svyaz', Moscow, 1993, 278 pp.

[9] M. V. Voronov, V. I. Pimenov, I. A. Nebaev, Artificial intelligence systems: Tutorial and practices for High School, Yurayt, Moscow, 2022, 256 pp. (In Russian)