INTEGRATION OF ARTIFICIAL INTELLIGENCE TOOLS IN TEACHING ENGLISH AS A FOREIGN LANGUAGE

Authors

  • Abdumalikova Gulhayo Shavkat qizi Faculty of Foreign Languages, Department of Philology and Teaching Languages: English, Fergana State University. Author
  • Xolmatova Elnura Sherali qizi Author

Keywords:

Artificial intelligence, EFL, mobile learning, chatbots, adaptive learning, language education, pedagogical innovation.

Abstract

The integration of Artificial Intelligence (AI) tools in English as a Foreign Language (EFL) teaching has emerged as a transformative approach in contemporary education. AI technologies such as intelligent tutoring systems, chatbots, speech recognition software, and adaptive learning platforms provide personalized, interactive, and data-driven learning experiences. This paper explores the theoretical foundations, practical applications, and pedagogical benefits of AI integration in EFL classrooms. It also examines challenges such as digital literacy gaps, ethical considerations, and implementation limitations. The study incorporates global examples and focuses on the context of Uzbekistan, highlighting the current adoption of AI tools in schools and universities. By analyzing AI-assisted platforms like ChatGPT, Duolingo AI, Grammarly, Elsa Speak, and AR/VR-based applications, this research provides insights into enhancing learner engagement, vocabulary acquisition, speaking and writing skills, and overall language proficiency.

References

1. Fryer, L., & Carpenter, R. (2006). Bots as language learning tools. Language Learning & Technology, 10(3), 8–14.

2. Hockly, N. (2019). Artificial Intelligence and the future of language learning. ELT Journal, 73(4), 456–463.

3. Li, Z., & Hegelheimer, V. (2013). Mobile-assisted language learning: A literature review. ReCALL, 25(3), 1–23.

4. Tian, F., Yu, H., & Wu, J. (2020). AI-based pronunciation training: An empirical study. Computer Assisted Language Learning, 33(5–6), 567–586.

5. Vesselinov, R., & Grego, J. (2012). Duolingo effectiveness study. City University of New York Research Reports.

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Published

2025-11-03