OPTIMIZATION OF ADAPTIVE LANGUAGE LEARNING USING ARTIFICIAL INTELLIGENCE

The active penetration of digital technology into all spheres of human activity has naturally led to processes of transformation of the education system. In recent times, the growing interest around the possibility of using artificial intelligence (AI) in the educational space indicate the relevance of the topic. The aim is to analyze methods and technologies for optimizing adaptive learning of the Russian language as a foreign one based on AI. The theoretical significance is determined by its contribution to exploring various approaches to integrating AI into the educational process, as well as further investigating the effectiveness of using AI in adaptive language learning. The practical significance lies in the possibility of applying its main research results when introducing adaptive learning platforms and applications into educational institutions and developing recommendations for optimizing language teaching programs. During the study, scientific and methodological literature dedicated to the application of AI in education was analyzed, considering its prospects and potential risks, the effectiveness of various platforms and tools for adaptive language learning was assessed. The study determines the role of AI in personalizing the educational process, optimizing the content and forms of training, improving assessment methods and the pace of learning based on real-time feedback. The paper also identifies the ethical challenges and technical limitations faced by researchers and practitioners in the field of using advanced AI technologies in the educational process. The research results allow us to assert that AI technologies should become an integral part of the modern language learning process, as they can significantly enhance student motivation and develop their speaking skills. The results and study material can be used in lectures on cognitive linguistics, computational linguistics, semantics and pragmatics, as well as the development of educational programs and technology.

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Publication Details

Journal
Bulletin of Shokan Ualikhanov Kokshetau University Philological Series
Published
2024-09-27
DOI
https://doi.org/10.59102/kufil/2024/iss3pp279-290
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
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article

OPTIMIZATION OF ADAPTIVE LANGUAGE LEARNING USING ARTIFICIAL INTELLIGENCE

А.Kh. Azamatova, Sholpan K. Zharkynbekova, Natalia V. Chicherina, Assel Meyramovna Akhmetbekova
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Bulletin of Shokan Ualikhanov Kokshetau University Philological Series
Intelligent Tutoring Systems and Adaptive Learning
article

OPTIMIZATION OF ADAPTIVE LANGUAGE LEARNING USING ARTIFICIAL INTELLIGENCE

А.Kh. Azamatova, Sholpan K. Zharkynbekova, Natalia V. Chicherina, Assel Meyramovna Akhmetbekova
article en

Abstract

The active penetration of digital technology into all spheres of human activity has naturally led to processes of transformation of the education system. In recent times, the growing interest around the possibility of using artificial intelligence (AI) in the educational space indicate the relevance of the topic. The aim is to analyze methods and technologies for optimizing adaptive learning of the Russian language as a foreign one based on AI. The theoretical significance is determined by its contribution to exploring various approaches to integrating AI into the educational process, as well as further investigating the effectiveness of using AI in adaptive language learning. The practical significance lies in the possibility of applying its main research results when introducing adaptive learning platforms and applications into educational institutions and developing recommendations for optimizing language teaching programs. During the study, scientific and methodological literature dedicated to the application of AI in education was analyzed, considering its prospects and potential risks, the effectiveness of various platforms and tools for adaptive language learning was assessed. The study determines the role of AI in personalizing the educational process, optimizing the content and forms of training, improving assessment methods and the pace of learning based on real-time feedback. The paper also identifies the ethical challenges and technical limitations faced by researchers and practitioners in the field of using advanced AI technologies in the educational process. The research results allow us to assert that AI technologies should become an integral part of the modern language learning process, as they can significantly enhance student motivation and develop their speaking skills. The results and study material can be used in lectures on cognitive linguistics, computational linguistics, semantics and pragmatics, as well as the development of educational programs and technology.

Bulletin of Shokan Ualikhanov Kokshetau University Philological Series(3)
University of Tehran (IR), Astana Medical University (KZ)
Openalex Percentile: Top 85%
Intelligent Tutoring Systems and Adaptive Learning
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