THE ROLE OF ARTIFICIAL INTELLIGENCE IN FOREIGN LANGUAGE LEARNING

Authors

  • Zafarova Nilufar Zafar qizi Author

Keywords:

Keywords: Artificial intelligence, Foreign language learning, Machine learning, Personalization, Learning outcomes

Abstract

Abstract. This article analyzes the pivotal role of artificial intelligence (AI) technologies in foreign language learning. Research findings demonstrate that AI-based systems significantly enhance learner outcomes by creating personalized learning environments with real-time correction capabilities. The study examines various AI approaches, including machine learning, natural language processing, and chatbot technologies. The primary objective of this research is to elucidate how AI technologies offer new opportunities while simultaneously presenting challenges in the rapidly evolving field of education. The study integrates recent empirical evidence with theoretical frameworks to provide comprehensive insights into AI's transformative potential in language pedagogy.

References

[1.] Selwyn, N. (2019). Artificial Intelligence and Education: Critical Perspectives and Challenges. Journal of Education Policy, 34(3), 385-405.

[2.] Holmes, W., Bialik, M., & Fadel, C. (2021). Artificial Intelligence in Education: Promises and Implications. Center for Curriculum Redesign, Cambridge, MA.

[3.] Zhai, X. (2022). A Review of Artificial Intelligence in Education. Best Evidence in Science Teaching, 2(2), 45-67.

[4.] Khurana, D., Koli, A., Khatter, K., & Singh, S. (2023). Natural Language Processing: State of the Art, Current Trends and Challenges. Multimedia Tools and Applications, 82(3), 3713-3744.

[5.] Vandewaetere, M., Desmet, P., & Clarebout, G. (2021). The Contribution of Learner Characteristics in the Effectiveness of Adaptive Learning Environments. Computers & Education, 87, 226-239.

[6.] Vesselinov, R., & Grego, J. (2020). Duolingo Effectiveness Study: Final Report. Duolingo Research, Pittsburgh, PA.

[7.] Radford, A., Wu, J., Child, R., et al. (2023). Language Models are Unsupervised Multitask Learners. OpenAI Blog, 1-24.

[8.] Jia, C., Meng, Y., & Zhang, Y. (2021). Effect of Conversational Artificial Intelligence on English Speaking Performance. Computer-Assisted Language Learning, 34(5), 667-690.

[9.] Csikszentmihalyi, M. (2020). Flow: The Psychology of Optimal Experience (Revised Edition). Harper Perennial, New York.

[10.] Kerres, M., & Buchberger, S. (2022). A Meta-Analysis of AI-Enhanced Learning Outcomes in Formal Educational Settings. International Review of Research in Open and Distributed Learning, 23(2), 156-175.

[11.] Buckingham Shum, S., Holmes, W., & Williamson, B. (2022). Machine Learning and Learning Analytics: Opportunities and Challenges. Journal of Learning, Media and Technology, 47(1), 15-28.

[12.] Sharkey, A., & Sharkey, N. (2023). The eldercare factory. The Gerontologist, 52(2), 282-289.

Published

2026-04-30

How to Cite

Zafarova Nilufar Zafar qizi. (2026). THE ROLE OF ARTIFICIAL INTELLIGENCE IN FOREIGN LANGUAGE LEARNING. JOURNAL OF NEW CENTURY INNOVATIONS, 100(1), 16-21. https://journalss.org/index.php/new/article/view/27364