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JOURNALS // Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia // Archive

Dokl. RAN. Math. Inf. Proc. Upr., 2024 Volume 517, Pages 5–11 (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

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.

UDC: 372.851

Received: 20.06.2024
Revised: 24.06.2024
Accepted: 24.06.2024

DOI: 10.31857/S2686954324030011


 English version:
Doklady Mathematics, 2024, 109:3, 191–196

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© Steklov Math. Inst. of RAS, 2026