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AI-POWERED FEEDBACK SYSTEMS IN SPEAKING AND PRONUNCIATION TRAINING: BENEFITS AND DRAWBACKS

Authors

  • Boymurodova Nishona

    Bukhara State Pedagogical Institute, Uzbekistan Email: boymurodovanishona51@gmail.com
    Author

Keywords:

Artificial Intelligence, pronunciation, speaking skills, feedback systems, speech recognition, ELT

Abstract

This article explores the role of Artificial Intelligence (AI)-powered feedback systems in enhancing speaking and pronunciation skills in English language learners. With increasing access to digital tools, AI has emerged as a transformative force in language education. The paper discusses the key functionalities, pedagogical advantages, and limitations of AI-based pronunciation trainers and speech recognition tools. It also examines empirical findings from recent studies and highlights the implications for learners, teachers, and curriculum developers.

References

1. Garcia, M., & Lin, Y. (2022). AI and Pronunciation: A New Path in Language Instruction. Journal of Educational Technology, 45(2), 134–149.

2. Lee, J., Kim, S., & Park, H. (2021). Speech Recognition Feedback in EFL Pronunciation Learning. TESOL Quarterly, 55(3), 487–506.

3. Warschauer, M., & Grimes, D. (2020). Automated Feedback and Second Language Speaking. Language Learning & Technology, 24(1), 78–92.

4. Yang, S. (2019). Pronunciation Technology and Second Language Acquisition. Computer-Assisted Language Learning, 32(5–6), 590–611.

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Published

2025-06-22