控制个性化通识教育的人工智能方法

IF 0.5 4区 数学 Q3 MATHEMATICS
A. L. Semenov, A. E. Abylkassymova, T. A. Rudchenko
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引用次数: 0

摘要

摘要 本文提出了一种控制普通教育过程的新方法。数字工具被用来形成目标、任务和学习活动空间,并记录每个学生的教育过程。人工智能工具用于选择学生的个人目标和实现目标的方法,为教育过程的参与者提供预测和建议。使用了来自整个教育系统的大数据和大语言模型。这种方法的效果包括确保每个学生的成功、对教师和学校工作的客观评估,以及高等教育继承过程的充分性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI Methods in Control of Personalized General Education

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.

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来源期刊
Doklady Mathematics
Doklady Mathematics 数学-数学
CiteScore
1.00
自引率
16.70%
发文量
39
审稿时长
3-6 weeks
期刊介绍: Doklady Mathematics is a journal of the Presidium of the Russian Academy of Sciences. It contains English translations of papers published in Doklady Akademii Nauk (Proceedings of the Russian Academy of Sciences), which was founded in 1933 and is published 36 times a year. Doklady Mathematics includes the materials from the following areas: mathematics, mathematical physics, computer science, control theory, and computers. It publishes brief scientific reports on previously unpublished significant new research in mathematics and its applications. The main contributors to the journal are Members of the RAS, Corresponding Members of the RAS, and scientists from the former Soviet Union and other foreign countries. Among the contributors are the outstanding Russian mathematicians.
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