AI-Driven Pronunciation Assessment: The Impact of SpeechAce on EFL Learners' Pronunciation Competency

Abstract

The study examines the impact of SpeechAce, an AI-driven pronunciation and fluency assessment tool, on enhancing students' pronunciation skills. Utilizing a mixed-method experimental design, the research involved an experimental group using SpeechAce and a control group relying on traditional methods. Quantitative data were collected through pretests, post-tests, and questionnaires. Statistical analysis was conducted to compare the effectiveness of SpeechAce with conventional teaching methods. In-depth interviews were conducted to collect qualitative data on participants' experiences and perceptions. The results revealed significantly higher post-test pronunciation scores in the experimental group compared to the control group. Additionally, the "students perceived SpeechAce as a user-friendly and effective tool, particularly praising its immediate feedback and interactive features. Furthermore, SpeechAce's ability to pinpoint specific pronunciation errors improved students' performance. These findings have important implications for language educators and developers of educational technology, suggesting that integrating AI tools like SpeechAce can significantly enhance language acquisition and support the integration of technology in English language teaching and learning.