AI Methods in Control of Personalized General Education
Academician of the RAS A. L. Semenova, b, c, *, A. E. Abylkassymovad, **, and T. A. Rudchenkoe, ***
aLomonosov Moscow State University, Moscow, Russia
bInstitute of Education, HSE University, Moscow, Russia
cScientific and Educational Mathematical Center of the Volga Federal Dictrict, N.I. Lobachevsky Institute of Mathematics and Mechanics, Kazan, Russia
dAbay University, Almaty, Republic of Kazakhstan
eAxel Berg Institute of Cybernetics and Educational Computing, Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia
email: *alsemno@ya.ru
email: **aabylkassymova@mail.ru
email: ***rudchenko@gmail.com
Received 20 June, 2024
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
DOI: 10.1134/S1064562424702119