Exploring EFL Students’ Use of AI Tools in Speaking Classes: Purposes, Motivations, and Perceived Benefits
DOI:
https://doi.org/10.54855/ictep.261111Keywords:
Artificial Intelligence (AI), speaking performance, learner perceptions, English as a Foreign Language (EFL)Abstract
Despite the rapid adoption of artificial intelligence (AI) in education, empirical evidence on how EFL learners use AI tools to improve speaking skills remains limited. This study examines the specific AI tools, usage purposes, motivations, and percieved benefits among university EFL students. A quantitative survey was administered to 155 freshmen at Ho Chi Minh City University of Industry and Trade (HUIT). Data were analyzed using descriptive statistics in SPSS. The findings revealed that generative AI chatbots (notably ChatGPT and Gemini) were widely adopted, primarily for idea generation, vocabulary enrichment, and translation. Learners were motivated by perceived usefulness, ease of use, and reduced speaking anxiety. Major reported benefits include enhanced confidence, expanded vocabulary, and greater learning flexibility. These findings offer practical insights for integrating generative AI tools into tertiary EFL speaking curricula.
References
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
Cohen, L., Manion, L., & Morrison, K. (2018). Research methods in education (8th ed.). Routledge.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Ding, D., & Yusof, M. B. (2025). Investigating the role of AI-powered conversation bots in enhancing L2 speaking skills and reducing speaking anxiety: A mixed methods study. Humanities and Social Sciences Communications, 12(1), Article 1223. https://doi.org/10.1057/s41599-025-05550-z
Ebadi, S., Velayati, S., Ramezanzadeh, A., & Salman, A. R. (2025). Exploring the impact of AI-powered speaking tasks on EFL learners' speaking performance and anxiety: An activity theory study. Acta Psychologica, 259, 105391. https://doi.org/10.1016/j.actpsy.2025.105391
Godwin-Jones, R. (2019). Riding the digital wilds: Learner autonomy and informal language learning. Language Learning & Technology, 23(1), 8–25. https://doi.org/10.64152/10125/44667
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education promises and implications for teaching and learning. Center for Curriculum Redesign.
Horwitz, E. K., Horwitz, M. B., & Cope, J. (1986). Foreign language classroom anxiety. The Modern Language Journal, 70(2), 125-132. https://doi.org/10.1111/j.1540-4781.1986.tb05256.x
Jiang, R. (2022). Understanding, Investigating, and promoting deep learning in language education: A survey on chinese college students' deep learning in the online EFL teaching context. Frontiers in Psychology, 13, 955565. https://doi.org/10.3389/fpsyg.2022.955565
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., Stadler, M., Weller, J., Kuhn, J., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Khailifa, N. F., & Ginting, P. (2024). Exploring EFL students cognition and practices in applying English speaking through the use of AI (artificial intelligence). IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature, 12(1), 417–440. https://doi.org/10.24256/ideas.v12i1.4908
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. Relc Journal, 54(2), 537-550. https://doi.org/10.1177/00336882231162868
Mudawy, A. M. A. (2025). Exploring EFL learners’ perceptions on the use of AI-powered conversational tools to improve speaking fluency: A case study at Majmaah University. Forum for Linguistic Studies, 7(1), 589-598. https://doi.org/10.30564/fls.v7i1.7774
Nguyen, L. N., & Pham, T. T. N., & Nguyen, N. T. U. (2026). Improving English Communication Skills for Non-English Major EFL Students Using a Self-Developed Website - Speakee. International Journal of TESOL & Education, 6(4), 63-81. https://doi.org/10.54855/ijte.26644
Pangestu, H. P., & Suwartono, T. (2024). Exploring the role of artificial intelligence (AI) support in assisting students’ English-speaking skills. Educalitra: English Education, Linguistics, and Literature Journal, 3(2), 134–147. https://doi.org/10.5281/zenodo.13134979
Reinders, H., & Hubbard, P. (2013). CALL and learner autonomy: Affordances and constraints. In M. Thomas, H. Reinders, & M. Warschauer (Eds.), Contemporary computer-assisted language learning (pp. 359–375). Continuum.
Ryan, R. M., & Deci, E. L. (2024). Self-determination theory. In Encyclopedia of quality of life and well-being research (pp. 6229-6235). Springer. https://doi.org/10.1007/978-3-031-17299-1_2630
Tran, V. M. Y., & Nguyen, T. U. N. (2026). Utilizing Artificial Intelligence Tools to Support Pronunciation Practice Among Non-English Major EFL Students. International Journal of TESOL & Education, 6(4), 82-101. https://doi.org/10.54855/ijte.26645
Wafa, Z., & Sulistyaningsih, E. F. (2025). Exploring the integration of artificial intelligence in English language teaching: Trends, challenges, and pedagogical implications. English Education and Literature Journal, 5(1), 119-128. https://doi.org/10.53863/e-jou.v5i01.1509
Wang, H., Aziz, A. A., & Kutty, F. M. (2025, February). Integrating AI into Asian tertiary EFL learners’ speaking instruction: A systematic literature review. Forum for Linguistic Studies, 7(3), 104-119. https://doi.org/10.30564/fls.v7i3.8263
Wen, Q. (2024). Exploration of University Students' Use of Artificial Intelligence for Independent Practice of English Speaking. In Proceedings of the 6th International Conference on Modern Educational Technology (pp. 86-92).
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64-70. https://doi.org/10.1207/S15430421TIP4102_2
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Nguyen Le Tuong Van

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the picte the right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the proceedings' published version of the work (e.g., post it to an institutional repository, in a journal, or publish it in a book), with an acknowledgment of its initial publication in this proceedings.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process.








