AI-BASED PRONUNCIATION TRAINING TOOLS FOR ENGLISH LANGUAGE LEARNERS: A SYSTEMATIC REVIEW
DOI:
https://doi.org/10.26418/jeep.v7i1.99864Keywords:
Systematic Review, Text-to-Speech (TTS), AI-based pronunciation Training, ELSA Speak, Automatic Speech Recognition (ASR), English Language Learners (ELLs).Abstract
Proficiency in English pronunciation is essential for effective communication, especially among English language learners (ELLs). This systematic review synthesizes findings from 22 studies published between 2016 and 2024 on the use of AI-based pronunciation training tools in English language education. The analysis shows growing interest in this field, with a notable rise in publications in 2022. AI tools, particularly ELSA Speak, have been shown to enhance pronunciation accuracy, learner confidence, and engagement through personalized feedback and interactive practice. Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) technologies also contribute to improved motivation and pronunciation development. However, gaps remain regarding the role of AI in teacher training and its impact on educators’ pronunciation skills. Most studies focus on students, highlighting the need for research on teachers’ experiences and effective classroom integration. Overall, this review provides evidence-based insights into the pedagogical use of AI for pronunciation learning. The results indicate that AI-based pronunciation tools improve accuracy, confidence, and engagement, but challenges such as technological barriers, feedback limitations, and insufficient educator-focused studies persist. Addressing these gaps is essential to optimizing AI’s role in language learning.References
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