DIGITAL TRANSFORMATION IN FOREIGN LANGUAGE TEACHING:ADAPTIVE LEARNING MODELS BASED ON ARTIFICIAL INTELLIGENCE

Authors

  • Hamdamova Zeboxon Islomjon kizi Author

Abstract

This article explores the role of digital transformation in foreign language teaching, focusing on adaptive learning models that utilize artificial intelligence. It examines the implications of AI-driven technologies on language acquisition, pedagogical strategies, and learner engagement, providing insights into future trends and best practices in language education.

References

1. Anderson, T. (2019). The Theory and Practice of Online Learning. Athabasca University Press.

2. Godwin-Jones, R. (2018). Emerging Technologies: Language Learning&Technology in the 21st Century. Language Learning&Technology.

3. Chao, C. M. (2020). Artificial Intelligence in Language Education: A Review. Educational Technology&Society.

4. Huang, Y. M.,&S. Y. (2021). Adaptive Learning Systems for Language Learning: A Review. Computers&Education.

5. Kukulska-Hulme, A. (2020). Mobile Language Learning: A New Paradigm. Cambridge University Press.

6. Warschauer, M. (2017). Technology and Language Learning: A New Era. TESOL Quarterly.

7. Li, L.,&H. D. (2022). The Impact of AI on Language Learning: Opportunities and Challenges. Journal of Language Teaching and Research.

8. Reinders, H. (2019). The Use of Technology in Language Learning: A Practical Guide. Routledge.

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Published

2026-07-26