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The Impact of ChatGPT on EFL Medical Track Students' Affective Filter

Bibliographic Data

ID21805063
AuthorsAeshah M Almineeai, Aeshah Muqbil Saeed Almineeai (0000-0003-0119-3337, University of Bisha), Mohammed A Alrashed (0009-0005-9900-1437, Islamic University), Taha Ahmed Hezam (0000-0001-5779-0574, University of Bisha), Asma F Alharthi, Aisha Salim Ali Al-Harthi (0000-0002-1843-1285, University of Bisha), Salma F Alharthi (University of Bisha)
Year2025
Volume16
Issue1
Pages158-167
Publication date2025-01-01
Open AccessYes
TypeARTICLE
VenueJournal of Language Teaching and Research (JOURNAL)
Journal identifiersISSN: 1798-4769 • E-ISSN: 2053-0684
PublisherAcademy Publication (PUBLISHER • GB)
DOI10.17507/jltr.1601.17
OpenAlexW4405956023
LanguageEN
Citations received3
References cited7

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

Cognitive psychology · Computer vision · Mathematics education · Applied Psychology · Artificial Intelligence in Healthcare and Education · Computer Science · Psychology · Social Psychology

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Citations per year3
Citation span2025 - 2026 (2)
Highly citedNo

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