THE ROLE OF ARTIFICIAL INTELLIGENCE IN TEACHING FOREIGN LANGUAGES: THEORETICAL FOUNDATIONS AND PRACTICAL APPLICATIONS
- Authors
-
-
Zakirova Mukhlisakhon Makhamadovna
Teacher, Tashkent State Technical University
Author
-
- Keywords:
- Artificial intelligence in education; foreign language teaching; adaptive learning; natural language processing; technology-enhanced language learning; learner autonomy; educational technology ethics.
- Abstract
-
The rapid proliferation of artificial intelligence technologies has fundamentally altered the landscape of higher education, presenting foreign language instructors with unprecedented opportunities to personalise and extend language learning beyond the traditional classroom. This article examines the theoretical underpinnings and practical implications of AI integration in university-level foreign language instruction, drawing on recent scholarly discourse and the experience of a practising language educator. Situated within learner-centred and sociocultural frameworks, the analysis surveys AI-driven applications — ranging from adaptive learning platforms and automated feedback tools to conversational agents and pronunciation coaches — while critically evaluating the pedagogical benefits and systemic challenges they introduce. The article concludes that responsible, pedagogically informed integration of AI holds genuine promise for enhancing student autonomy, motivation, and communicative competence, provided that educators retain their irreplaceable role as designers of meaningful learning experience.
- References
-
1. Baskara, R., & Mukarto, F. (2023). Exploring the implications of AI-assisted language learning in higher education. Indonesian Journal of Applied Linguistics, 13(1), 99–112.
2. Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2023). Two decades of artificial intelligence in education. Educational Technology & Society, 26(1), 28–47.33. Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20, 22.
4. Godwin-Jones, R. (2023). Spectre and spirit: Generative AI and language learning today and tomorrow. Language Learning & Technology, 27(2), 1–18.
5. Huang, X., Zou, D., Cheng, G., Chen, X., & Xie, H. (2023). Trends and applications of AI in language education. Educational Technology & Society, 26(1), 112–131.
6. Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). Exploring generative AI in language teaching. RELC Journal, 54(2), 214–228.
7. Lee, I., & Zheng, B. (2024). AI-mediated feedback in L2 writing: Opportunities and implications. Journal of Second Language Writing, 63, 101071.
8. Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO Publishing.
9. Moorhouse, B. L., Yeo, M. A., & Wan, Y. (2023). Generative AI tools and assessment guidelines. Computers and Education Open, 5, 100151.
10. Rao, N. J. (2024). Large language models and the future of language education. Asian Journal of Education and Social Studies, 50(4), 12–24.
11. Shadiev, R., & Wang, X. (2023). Technology-assisted language learning in authentic contexts. Frontiers in Psychology, 14, 1049964.
12. Tai, T.-Y., & Chen, H. H.-J. (2023). ChatGPT-assisted language learning: Student perceptions. Interactive Learning Environments, 32(9), 1–18.
13. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2024). Systematic review of AI applications in higher education. International Journal of Educational Technology in Higher Education, 21, 1.
14. Zhang, R., & Zou, D. (2023). Self-regulated language learning with technology: A meta-analysis. System, 118, 103131.
- Downloads
- Published
- 2026-06-09
- Issue
- Vol. 2 No. 6 (2026)
- Section
- Articles
- License
-
This work is licensed under a Creative Commons Attribution 4.0 International License.
