Articles
| Open Access | AI-POWERED FEEDBACK SYSTEMS IN SPEAKING AND PRONUNCIATION TRAINING: BENEFITS AND DRAWBACKS
Boymurodova Nishona , Bukhara State Pedagogical Institute, UzbekistanAbstract
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.
Keywords
Artificial Intelligence, pronunciation, speaking skills, feedback systems, speech recognition, ELT
References
Garcia, M., & Lin, Y. (2022). AI and Pronunciation: A New Path in Language Instruction. Journal of Educational Technology, 45(2), 134–149.
Lee, J., Kim, S., & Park, H. (2021). Speech Recognition Feedback in EFL Pronunciation Learning. TESOL Quarterly, 55(3), 487–506.
Warschauer, M., & Grimes, D. (2020). Automated Feedback and Second Language Speaking. Language Learning & Technology, 24(1), 78–92.
Yang, S. (2019). Pronunciation Technology and Second Language Acquisition. Computer-Assisted Language Learning, 32(5–6), 590–611.
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This work is licensed under a Creative Commons Attribution 4.0 International License.