Deciding When and How to Use AI in EFL Speaking Instruction: Evidence from Surveys and Teacher Interviews
DOI:
https://doi.org/10.70152/duties.v2i1.309Keywords:
AI integration, EFL speaking, mixed-methods research, teacher agency, technology-enhanced learningArticle Metrics
Abstract
The integration of Artificial Intelligence (AI) in English as a Foreign Language (EFL) instruction has expanded rapidly, yet little is known about how teachers make pedagogical decisions regarding AI use in speaking classrooms. This study investigates how EFL teachers explain and justify their decisions about when and how to use AI tools in speaking instruction, employing a convergent mixed-methods design. Quantitative data were collected through a survey of 24 teachers, analyzed using descriptive statistics, while qualitative insights were obtained from semi-structured interviews with 12 teachers, analyzed thematically. Findings reveal that teachers adopt a selective, context-sensitive approach, prioritizing AI for pronunciation practice and fluency exercises, where immediate feedback and structured practice are most effective. Teachers exercise professional judgment to balance AI affordances with pedagogical objectives, contextual constraints, and ethical considerations, ensuring that AI supplements rather than replaces human interaction. The study highlights the multidimensional nature of teacher agency in AI-supported speaking instruction and provides practical implications for professional development and curriculum design. Future research could examine AI integration across other language skills, diverse educational contexts, and longitudinal impacts on learners’ speaking proficiency and autonomy.
References
Alharbi, W. (2023). AI in the foreign language classroom: A pedagogical overview of automated writing assistance tools. Education Research International, 2023, 1–15. https://doi.org/10.1155/2023/4253331
Almufarreh, A. (2024). Determinants of students’ satisfaction with AI tools in education: A PLS-SEM-ANN approach. Sustainability, 16(13), 5354. https://doi.org/10.3390/su16135354
Banegas, D. L., Budzenski, M., & Yang, F. (2024). Enhancing pre-service teachers’ projective agency for diverse and multilingual classrooms through a course on curriculum development. International Multilingual Research Journal, 00(00), 1–16. https://doi.org/10.1080/19313152.2024.2318967
Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. In Sage Publications (p. 320). https://books.google.se/books?id=Hr11DwAAQBAJ&hl=sv
Celik, I., Gedrimiene, E., Siklander, S., & Muukkonen, H. (2024). The affordances of artificial intelligence-based tools for supporting 21st-century skills: A systematic review of empirical research in higher education. Australasian Journal of Educational Technology, 40(3), 1–20.
Chen, Y. chen. (2022). Effects of technology-enhanced language learning on reducing EFL learners’ public speaking anxiety. Computer Assisted Language Learning, 37(4), 789–813. https://doi.org/10.1080/09588221.2022.2055083
Choi, S., Jang, Y., & Kim, H. (2023). Influence of pedagogical beliefs and perceived trust on teachers’ acceptance of educational artificial intelligence tools. International Journal of Human-Computer Interaction, 39(4), 910–922. https://doi.org/10.1080/10447318.2022.2049145
Creswell, J. W., & Creswell, J. D. (2023). Research Design: Qualitative, quantitative and mixed methods approaches. In SAGE Publications,Inc.: Vol. Sixth Edit (Issue 1). SAGE Publications. https://medium.com/@arifwicaksanaa/pengertian-use-case-a7e576e1b6bf
Crompton, H., Edmett, A., Ichaporia, N., & Burke, D. (2024). AI and English language teaching: Affordances and challenges. British Journal of Educational Technology, 55(6), 2503–2529. https://doi.org/10.1111/bjet.13460
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(January), 100230. https://doi.org/10.1016/j.caeai.2024.100230
Emans, A., Oolbekkink-Marchand, H., Bakker, C., & De Bruijn, E. (2025). Teacher agency in the dynamics of educational practices: A theory synthesis. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1515123
Fitriati, S. W., & Williyan, A. (2025). AI-enhanced self-regulated learning: EFL learners ’ prioritization and utilization in presentation skills development. Journal of Pedagogical Research, 9(2), 22–37. https://doi.org/https://doi.org/10.33902/JPR.202530647
He, X. (2024). Enhancing reading comprehension with AI-generated adaptive texts. International Journal of New Developments in Education, 6(7), 46–52. https://doi.org/10.25236/IJNDE.2024.060708
Herrera-Seda, C., & Pantić, N. (2025). Exercising teacher agency for inclusion in challenging times: A multiple case study in Chilean schools. Education Sciences, 15(3), 316. https://doi.org/10.3390/educsci15030316
Huang, J., & Yip, J. W. C. (2021). Understanding ESL teachers’ Agency in their early years of professional development: A three-layered triadic reciprocity framework. Frontiers in Psychology, 12(September). https://doi.org/10.3389/fpsyg.2021.739271
Jose, J., & Jayaron Jose, B. (2024). Educators’ academic insights on artificial intelligence: Challenges and opportunities. Electronic Journal of E-Learning, 22(2), 00–00. https://doi.org/10.34190/ejel.21.5.3272
Kemelbekova, Z., Degtyareva, X., Yessenaman, S., Ismailova, D., & Seidaliyeva, G. (2024). AI in teaching English as a foreign language: Effectiveness and prospects in Kazakh higher education. XLinguae, 17(1), 69–83. https://doi.org/10.18355/XL.2024.17.01.05
Koh, J., Dominic, H., Elmendorf, H., & Cowgill, S. (2023). Student voice and teacher agency: Storytelling in letters of recommendation for college admissions. Language and Education, 37(6), 717–730. https://doi.org/10.1080/09500782.2023.2217147
Kolho, P. (2024). A vocational education and training subject teacher for fostering students’ entrepreneurial skills—The development of a conceptual model. International Journal of Training and Development, 28(4), 430–453. https://doi.org/10.1111/ijtd.12335
Ling, Y., & Jan, J. M. (2025). Voices from the Flip: Teacher perspectives on integrating AI chatbots in flipped English classrooms. Education Sciences, 15(9), 1219. https://doi.org/10.3390/educsci15091219
McCarthy, K. S., & Yan, E. F. (2024). Reading comprehension and constructive learning: Policy considerations in the age of artificial intelligence. Policy Insights from the Behavioral and Brain Sciences, 11(1), 19–26. https://doi.org/10.1177/23727322231218891
Memarian, B., & Doleck, T. (2023). Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review. Computers and Education: Artificial Intelligence, 5(May), 100152. https://doi.org/10.1016/j.caeai.2023.100152
Morman, K. M., Wang, C., Brady, L. M., & Fryberg, S. A. (2025). Individual and contextual morality: How educators in oppositional and permissive communities use culturally responsive practices. Behavioral Sciences, 15(4), 446. https://doi.org/10.3390/bs15040446
Moxon, S. (2024). All-Talk: Enhancing EFL pronunciation with Microsoft Azure Speech Services. ABAC Journal, 44(4). https://doi.org/10.59865/abacj.2024.58
Nezhad, P. M., & Stolz, S. A. (2024). Unveiling teachers’ professional agency and decision-making in professional learning: The illusion of choice. Professional Development in Education, 1–21. https://doi.org/10.1080/19415257.2024.2349058
Ng, D. T. K., Luo, W., Chan, H. M. Y., & Chu, S. K. W. (2022). Using digital story writing as a pedagogy to develop AI literacy among primary students. Computers and Education: Artificial Intelligence, 3, 100054. https://doi.org/10.1016/j.caeai.2022.100054
Nguyen Huu, H. (2025). AI for English speaking practice: A study of effectiveness and engagement among Vietnamese university learners. Australasian Journal of Educational Technology. https://doi.org/10.14742/ajet.10050
Novoa-Echaurren, Á., Pavez, I., & Anabalón, M. E. (2025). Reflective practice and digital technology use in a university context: A qualitative approach to transformative teaching. Education Sciences, 15(6), 643. https://doi.org/10.3390/educsci15060643
Qiao, H., & Zhao, A. (2023). Artificial intelligence-based language learning: illuminating the impact on speaking skills and self-regulation in Chinese EFL context. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1255594
Samuel, Y., Brennan-Tonetta, M., Samuel, J., Kashyap, R., Kumar, V., Krishna Kaashyap, S., Chidipothu, N., Anand, I., & Jain, P. (2023). Cultivation of human centered artificial intelligence: Culturally adaptive thinking in education (CATE) for AI. Frontiers in Artificial Intelligence, 6. https://doi.org/10.3389/frai.2023.1198180
Srinivasan, V., & Murthy, H. (2021). Improving reading and comprehension in K-12: Evidence from a large-scale AI technology intervention in India. Computers and Education: Artificial Intelligence, 2, 100019. https://doi.org/10.1016/j.caeai.2021.100019
Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial intelligence in education: AIEd for personalised learning pathways. Electronic Journal of E-Learning, 20(5), 639–653. https://doi.org/10.34190/ejel.20.5.2597
Walter, Y. (2024). Embracing the future of Artificial Intelligence in the classroom: The relevance of AI literacy, prompt engineering, and critical thinking in modern education. International Journal of Educational Technology in Higher Education, 21(1), 15. https://doi.org/10.1186/s41239-024-00448-3
Wei, L. (2023). Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14(November), 1–14. https://doi.org/10.3389/fpsyg.2023.1261955
Williyan, A., Puspitasari, D., Putri, A. R., Rahmawati, Y., Budiyanto, & Muthmainnah. (2025). EFL teachers’ inquisitive agency in AI-enhanced writing instruction. Lecture Notes in Networks and Systems, 1270 LNNS, 277–289. https://doi.org/10.1007/978-981-96-2015-9_19
Williyan, A., Supriyono, Y., Sari, N., & Dewi, N. (2025). Deliberative teacher agency: A phenomenological study on ICT integration in writing instruction by Indonesian EFL educators. 159(3), 5–29.
Xiao, Y., & Zhi, Y. (2023). An exploratory study of EFL learners’ use of ChatGPT for language learning tasks: Experience and perceptions. Languages, 8(3), 212. https://doi.org/10.3390/languages8030212
Yli-Pietilä, R., Soini, T., Pietarinen, J., & Pyhältö, K. (2024). Profiles of teacher’s professional agency in the classroom across time. Scandinavian Journal of Educational Research, 68(5), 954–968. https://doi.org/10.1080/00313831.2023.2196536
Yusra, K., Lestari, Y. B., & Hamid, M. O. (2022). Teacher agency and the implementation of CEFR-like policies for English for tourism and hospitality: Insights from local vocational high schools in Indonesia. Current Issues in Language Planning, 23(3), 233–253. https://doi.org/10.1080/14664208.2021.1965739
Zhou, C., & Hou, F. (2024). Can AI empower L2 education? Exploring its influence on the behavioural, cognitive and emotional engagement of EFL teachers and language learners. European Journal of Education, 59(4). https://doi.org/10.1111/ejed.12750
Zou, B., Lyu, Q., Han, Y., Li, Z., & Zhang, W. (2023). Exploring students’ acceptance of an artificial intelligence speech evaluation program for EFL speaking practice: An application of the Integrated Model of Technology Acceptance. Computer Assisted Language Learning, 0(0), 1–26. https://doi.org/10.1080/09588221.2023.2278608
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