The Impact of ChatGPT on EFL Medical Track Students' Affective Filter
DOI:
https://doi.org/10.17507/jltr.1601.17Keywords:
ChatGPT, speaking proficiency, affective filterAbstract
This study examines the impact of ChatGPT on reducing the affective filter and enhancing speaking proficiency among EFL medical track students. An experimental group of 18 students participated in speaking practice facilitated by artificial intelligence (AI) tools using ChatGPT. Specifically, the influence of ChatGPT was evaluated on motivation, self-esteem, and anxiety levels among English as a foreign language (EFL) learners. A mixed-methods approach was employed, combining quantitative and qualitative data collection through pre-posttests on speaking proficiency, as well as interviews. Results indicate a significant positive shift in students' anxiety levels post-intervention, along with improvements in speaking performance and reduced affective filter. ChatGPT's role in providing personalized feedback, simulated conversations, and a supportive learning environment is highlighted as an asset in language learning and emotional barrier mitigation. Further exploration into the long-term effects of AI technology in language learning is recommended to enhance teaching practices and create inclusive learning environments.
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