THE IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN MODERN TEACHING METHODS OF ENGLISH LANGUAGE
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Keywords

artificial intelligence, English language teaching, adaptive learning, automated writing evaluation, intelligent tutoring systems, pronunciation feedback.

Abstract

This paper describes the role of artificial intelligence (AI) in contemporary English language teaching (ELT). It presents pedagogical benefits (personalization, instant feedback, speaking practice, intelligent tutoring), discusses major tools and implementations, analyzes empirical evidence of effectiveness, and outlines ethical/technical challenges. The paper concludes with recommendations for teachers and institutions on integrating AI into language curricula.

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References

1. Létourneau, A., et al. (2025). A systematic review of AI-driven intelligent tutoring systems. PLoS/PMC.

2. Karatay, Y. (2024). Automated writing evaluation use in second language contexts: A survey. Computers & Education.

3. He, M. (2025). AI-driven language learning in higher education. Palgrave/Nature.

4. Duolingo announces AI expansion and course scaling (news report). (2025). The Verge.

5. Studies on ELSA Speak — various case studies and experimental reports (2022–2025) showing pronunciation gains when used as supplementary practice. Examples: Darsih et al. (2020); institutional case studies 2023–2025.

6. ResearchGate / conference and journal articles on ITS for language learning (Slavuj et al., du Boulay; survey papers).

7. Time magazine. (2024). AI Testing Mostly Uses English Right Now. That's Risky. — discussion of English-centric testing biases.

8. Additional foundational readings: Godwin-Jones, R. (2019). Emerging technologies: AI and language learning. Language Learning & Technology; Lu, X. (2022). Automated writing evaluation and EFL teaching. Computers & Education.