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Bulletin of the Abai KazNPU, the series of "Physical and Mathematical Sciences"

INNOVATIVE APPROACHES TO DIGITALIZATION OF EDUCATION BASED ON ADAPTIVE TRAINING TECHNOLOGIES

Published March 2024
Abai Kazakh national pedagogical university, Almaty, Kazakhstan
Abai Kazakh national pedagogical university, Almaty, Kazakhstan
Abai Kazakh National Pedagogical University
Abai Kazakh national pedagogical university, Almaty, Kazakhstan
Abstract

This article discusses the importance of adaptive learning and the use of artificial intelligence in the training of future specialists. Modern education faces challenges that require a personalized approach to learning, as well as the use of advanced technologies such as adaptive learning and artificial intelligence. The educational field has undergone significant changes in recent years due to advances in technology and artificial intelligence. Digitalization and the technological revolution in education, combined with a new approach to respecting the individual learning styles and abilities of each student, have contributed to the development of adaptive learning technologies and artificial intelligence (AI). These innovative tools personalize the educational experience to meet the unique needs of each student. This article used the VOSviewer tool to conduct a bibliometric analysis of publications on the topic of adaptive learning and artificial intelligence, including articles, analyzes and chapters indexed in the Web of Science database from 1990 to 2023. The analysis results indicate that recent technological changes have played a key role in the evolution of adaptive learning and artificial intelligence. These findings provide scientific evidence that can serve as a basis for further developments in the field of adaptive education and artificial intelligence.

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Language

Рус

How to Cite

[1]
Текесбаева, Н., Ошанова, Н., Жунусова, Л. and Ануарбекова, Г. 2024. INNOVATIVE APPROACHES TO DIGITALIZATION OF EDUCATION BASED ON ADAPTIVE TRAINING TECHNOLOGIES. Bulletin of the Abai KazNPU, the series of "Physical and Mathematical Sciences". 85, 1 (Mar. 2024), 296–304. DOI:https://doi.org/10.51889/2959-5894.2024.85.1.028.