AI Methods in Control of Personalized General Education

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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.

作者简介

A. 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

编辑信件的主要联系方式.
Email: alsemno@ya.ru

Academician of the RAS

俄罗斯联邦, Moscow; Moscow; Kazan

A. Abylkassymova

Abay University

Email: aabylkassymova@mail.ru
哈萨克斯坦, Almaty

T. 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
俄罗斯联邦, Moscow

参考

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