Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia
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Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia, 2024, Volume 517, Pages 5–11
DOI: https://doi.org/10.31857/S2686954324030011 (Mi danma522) 		 
MATHEMATICS

AI methods in control of personalized general education

A. L. Semenovabcd, A. Y. Abylkassymovae, T. A. Rudchenkof

a Lomonosov Moscow State University
b Institute of Education, HSE University, Moscow, Russia
c Scientific-Educational Mathematical Center of Volga Federal District
d Institute of Mathematics and Mechanics, Kazan Federal University
e Kazakh National Pedagogical University, Moscow, Russia
f Axel Berg Institute of Cybernetics and Educational Computing of FRC CSC RAS, Moscow, Russia
Full-text PDF
DOI: https://doi.org/10.31857/S2686954324030011
Abstract: The paper proposes a new approach to control the process of general education. Digital tools are used to form spaces of goals, tasks and learning activities, and to record the educational process of each student. Artificial intelligence tools are used when choosing a student’s personal goals and ways to achieve them, to make forecasts and recommendations to participants in the educational process. Big data from the entire education system and big linguistic models are used. The effects of the approach include ensuring the success of each student, objective assessment of the work of teachers and schools, and the adequacy of the succession process to higher education.
Keywords: control in education, personalized learning, big data in education, LLM.
Funding agency Grant number
Ministry of Education and Science of the Republic of Kazakhstan AP19680007
This research was funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (grant no. AP19680007, head – A.E. Abylkassymova).
Received: 20.06.2024
Revised: 24.06.2024
Accepted: 24.06.2024
English version:
Doklady Mathematics, 2024, Volume 109, Issue 3, Pages 191–196
DOI: https://doi.org/10.1134/S1064562424702119
Bibliographic databases:
Document Type: Article
UDC: 372.851
Language: Russian
Citation: A. L. Semenov, A. Y. Abylkassymova, T. A. Rudchenko, “AI methods in control of personalized general education”, Dokl. RAN. Math. Inf. Proc. Upr., 517 (2024), 5–11; Dokl. Math., 109:3 (2024), 191–196
Citation in format AMSBIB
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\by A.~L.~Semenov, A.~Y.~Abylkassymova, T.~A.~Rudchenko
\paper AI methods in control of personalized general education
\jour Dokl. RAN. Math. Inf. Proc. Upr.
\yr 2024
\vol 517
\pages 5--11
\mathnet{http://mi.mathnet.ru/danma522}
\crossref{https://doi.org/10.31857/S2686954324030011}
\elib{https://elibrary.ru/item.asp?id=69204681}
\transl
\jour Dokl. Math.
\yr 2024
\vol 109
\issue 3
\pages 191--196
\crossref{https://doi.org/10.1134/S1064562424702119}
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