INTEGRATING ARTIFICIAL INTELLIGENCE FOR SPEAKING PROFICIENCY

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PDF (English)
Nashr: Jild 4 Nomeri 31 : Общественные науки в современном мире: теоретические и практические исследования
Bo'lim: Maqolalar
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Trainee- teacher, Uzbekistan State World Languages University
info@in-academy.uz

Abstrak:

This article explores the strategic integration of Artificial Intelligence (AI) tools to enhance university students’ oral proficiency. It argues that AI systems, utilizing ASR (Automatic Speech Recognition) and LLMs (Large Language Models), provide an essential complement to traditional pedagogy. Key benefits include delivering instantaneous feedback on technical parameters like pronunciation and pace (prosody), and mitigating communication apprehension by offering a low-stakes, non-judgmental practice environment. However, the article cautions that AI must operate within a hybrid model, acknowledging its limitations in assessing non-verbal cues and addressing crucial ethical concerns related to data privacy.

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Matyakubova, L. (2025). INTEGRATING ARTIFICIAL INTELLIGENCE FOR SPEAKING PROFICIENCY. Общественные науки в современном мире: теоретические и практические исследования, 4(31), 8–10. Retrieved from https://in-academy.uz/index.php/zdif/article/view/69173

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Thompson, C. A. (2021). The role of virtual reality and AI companions in reducing communication anxiety. In P. D. Greene (Ed.), New directions in language acquisition technology (pp. 145-168). Routledge.

Williams, R., Garcia, C., & Patel, S. (2022). Analyzing prosodic features using machine learning models for advanced language learners. Applied Linguistics Review, 13(4), 859-880.