ARTIFICIAL INTELLIGENCE IN EFL SPEAKING INSTRUCTION: PEDAGOGICAL OPPORTUNITIES AND CHALLENGES
Keywords:
Keywords: artificial intelligence, EFL speaking, speaking instruction, automated feedback, adaptive learning.Abstract
Abstract: This thesis examines the pedagogical role of artificial intelligence (AI) in English as a Foreign Language (EFL) speaking instruction. The topic is relevant because conventional classrooms often provide limited individual speaking time, delayed feedback and insufficiently safe conditions for repeated oral performance. A focused synthesis of six peer-reviewed studies published between 2023 and 2026 shows that AI can extend interaction, provide automated feedback, personalize practice and support engagement and affective readiness. However, speech-recognition limitations, uneven suitability across proficiency levels and inconsistent evidence for higher-order communicative competence prevent AI from being treated as a replacement for teachers or authentic human interaction. The thesis therefore conceptualizes AI as a design-sensitive instructional resource embedded in teacher-guided communicative tasks.
References
1. Bhar, S. K. (2026). Artificial intelligence in EFL speaking instruction: A systematic review of pedagogical design, affective conditions and instructional input. Encyclopedia, 6(4), 74. https://doi.org/10.3390/encyclopedia6040074
2. Du, J., & Daniel, B. K. (2024). Transforming language education: A systematic review of AI-powered chatbots for English as a foreign language speaking practice. Computers and Education: Artificial Intelligence, 6, 100230. https://doi.org/10.1016/j.caeai.2024.100230
3. Huang, F., Peng, D., & Teo, T. (2025). AI affordances and EFL learners’ speaking engagement: The moderating roles of gender and learner type. European Journal of Education, 60(1), e70041. https://doi.org/10.1111/ejed.70041
4. Shi, W., & Shakibaei, G. (2025). Insights into the effectiveness of artificial intelligence-integrated speaking instruction in enhancing speaking skills and social–emotional competence as well as reducing demotivation and shyness. European Journal of Education, 60(3), e70174. https://doi.org/10.1111/ejed.70174
5. Xu, J., Ding, K., Yang, D., Wen, H., & Zou, T. (2026). Artificial intelligence as a catalyst for nonlinear skill development: Evaluating adaptive and collaborative AI tools for transforming academic speaking proficiency among EFL learners. Journal of Educational Computing Research, 64(5), 1187–1216. https://doi.org/10.1177/07356331261425496
