Репозиторий Евразийского национального университета имени Л.Н. Гумилева
Репозиторий Евразийского национального университета имени Л.Н. Гумилева
Репозиторий Евразийского национального университета имени Л.Н. Гумилева
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  • 2026
  • Тілдерді оқытудың инновациялық тәсілдері: теория мен практиканы ұштастыру
  • SECTION 2. INNOVATIVE TECHNOLOGIES IN FOREIGN LANGUAGE TEACHING METHODOLOGY
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  • Материалы конференций, семинаров
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  • Тілдерді оқытудың инновациялық тәсілдері: теория мен практиканы ұштастыру
  • SECTION 2. INNOVATIVE TECHNOLOGIES IN FOREIGN LANGUAGE TEACHING METHODOLOGY
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HOW ARTIFICIAL INTELLIGENCE IMPROVES FOREIGN LANGUAGE LEARNING

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Authors
Muratbek, Inkar
Muratkyzy, Aida
Kuzar, Zhanna
Date
2026-04-04
Publisher
L.N. Gumilyov Eurasian National University
ISBN
978-601-385-215-7
Abstract
Artificial intelligence (AI) has a huge impact on foreign language education. The use of AI in language learning has opened up a broader range of resources and methods, making it easier for teachers to teach and improve students’ skills, making instruction more effective, engaging, and accessible. This article looks at how AI impacts foreign language learning, focusing on vocabulary, grammar, speaking, listening, writing abilities, and learner motivation. Through recent literature analysis, the paper describes the advantages, drawbacks, and the limits of this research applying AI in language acquisition. It also addresses issues of ethics and culture related to teaching based on AI, highlighting the need for careful and responsible use. AI is significantly supporting personalized learning while giving instant feedback, and provides interactive activities to help develop language skills and learner independence. However, technology, privacy, and digital divide issues need to be solved to make learning fair and successful. Finally, the paper looks at pathways AI-driven platforms can take into the future to evolve foreign language education with advanced adaptive learning, gamification, and immersive technologies like virtual and augmented reality.
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http://repository.enu.kz/handle/enu/32829
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