AI Methods in Control of Personalized General Education
Semenov A.L. Abylkassymova A.E. Rudchenko T.A.
June 2024Pleiades Publishing
Doklady Mathematics
2024#109Issue 3191 - 196 pp.
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.
big data in education , control in education , LLM , personalized learning
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Lomonosov Moscow State University, Moscow, Russian Federation
Institute of Education, HSE University, Moscow, Russian Federation
Scientific and Educational Mathematical Center of the Volga Federal Dictrict, N.I. Lobachevsky Institute of Mathematics and Mechanics, Kazan, Russian Federation
Abay University, Almaty, Kazakhstan
Axel Berg Institute of Cybernetics and Educational Computing, Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russian Federation
Lomonosov Moscow State University
Institute of Education
Scientific and Educational Mathematical Center of the Volga Federal Dictrict
Abay University
Axel Berg Institute of Cybernetics and Educational Computing
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