AI Methods in Control of Personalized General Education

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Abstract

The paper proposes a new approach to control the process of general education. Digital technology 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.

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About the authors

A. L. Semenov

Lomonosov Moscow State University; Institute of Education, HSE University; Scientific and Educational Mathematical Center of the Volga Federal District, Lobachevsky Institute of Mathematics and Mechanics

Author for correspondence.
Email: alsemno@ya.ru

Academician of the RAS

Russian Federation, Moscow; Moscow; Kazan

A. E. Abylkassymova

Abay University

Email: aabylkassymova@mail.ru
Kazakhstan, Almaty

T. A. Rudchenko

Axel Berg Institute of Cybernetics and Educational Computing, Federal Research Center “Computer Science and Control” of Russian Academy of Sciences

Email: rudchenko@gmail.com
Russian Federation, Moscow

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