Redefining Teacher Roles in AI-driven Informal English Learning: Perspectives from Vietnamese EFL Educators

Authors

  • Giang Ngoc Tran Faculty of English, Hanoi National University of Education, Vietnam
  • Giang Van Ngo Faculty of English, Hanoi University, Vietnam

DOI:

https://doi.org/10.52296/vje.2026.886

How to Cite

Tran, G. N., & Ngo, G. V. (2026). Redefining Teacher Roles in AI-driven Informal English Learning: Perspectives from Vietnamese EFL Educators. Vietnam Journal of Education, 10(4). https://doi.org/10.52296/vje.2026.886

Abstract

This exploratory mixed-methods study investigates Vietnamese EFL educators’ perceptions of AI-driven informal English learning by examining their attitudes toward students’ AI-mediated learning, perceived changes in pedagogical roles, professional challenges, and institutional support needs. Drawing on survey data from a sample of 36 Vietnamese EFL teachers across diverse educational contexts, the study examines attitudes toward AI-mediated informal learning, perceived shifts in pedagogical responsibilities, professional challenges, and institutional support needs. Quantitative findings reveal that the majority of educators recognize the value of AI tools in enhancing students’ motivation and autonomous learning, while also acknowledging a clear shift toward facilitative rather than directive teaching roles. Educators express strong consensus that critical guidance, specific professional training, and institutional support are essential for navigating AI-driven informal learning contexts effectively. Qualitative narrative responses further illuminate the nuanced experiences, challenges, and adaptive practices of educators engaging with students who independently use AI tools. Findings highlight teachers’ recognition of the need to facilitate, complement, and critically guide students’ AI-mediated informal learning processes. While findings are based on a convenience sample and should not be generalized beyond the study population, they provide preliminary insights into how Vietnamese educators are beginning to conceptualize and respond to AI-driven informal language learning. Implications for teacher education and professional development are discussed, emphasizing the preparation of educators for effective engagement with AI-driven language learning contexts.

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References

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa

Clandinin, D. J., & Connelly, F. M. (2000). Narrative inquiry: Experience and story in qualitative research. Jossey-Bass.

Creely, E. (2024). Exploring the role of generative AI in enhancing language learning: Opportunities and challenges. International Journal of Changes in Education, 1(3), 158-167. https://doi.org/10.47852/bonviewIJCE42022495

Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE.

Dooly, M., & Sadler, R. (2020). “If you don’t improve, what’s the point?” Investigating the impact of a “flipped” online exchange in teacher education. ReCALL, 32(1), 4-24. https://doi.org/10.1017/S0958344019000107

Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2010). Teacher technology change: How knowledge, confidence, beliefs, and culture intersect. Journal of Research on Technology in Education, 42(3), 255-284. https://doi.org/10.1080/15391523.2010.10782551

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

Goldie, J. G. S. (2016). Connectivism: A knowledge learning theory for the digital age? Medical Teacher, 38(10), 1064-1069. https://doi.org/10.3109/0142159X.2016.1173661

Hall, G. E., & Hord, S. M. (2011). Implementing change: Patterns, principles, and potholes (3rd ed.). Pearson.

Hampel, R. (2015). Developing online language teaching: Research-based pedagogies and reflective practices. Springer.

Holmes, W., & Tuomi, I. (2022). State of the art and practice in AI in education. European Journal of Education, 57(4), 542-570. https://doi.org/10.1111/ejed.12533

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

Kukulska-Hulme, A., & Viberg, O. (2018). Mobile collaborative language learning: State of the art. British Journal of Educational Technology, 49(2), 207-218. https://doi.org/10.1111/bjet.12580

Lai, C., Shum, M., & Tian, Y. (2016). Enhancing learners’ self-directed use of technology for language learning: The effectiveness of an online training platform. Computer Assisted Language Learning, 29(1), 40-60. https://doi.org/10.1080/09588221.2014.889714

Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO. https://doi.org/10.54675/EWZM9535

Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017-1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x

Reinders, H., & Benson, P. (2017). Research agenda: Language learning beyond the classroom. Language Teaching, 50(4), 561-578. https://doi.org/10.1017/S0261444817000192

Selwyn, N. (2016). Is technology good for education? Polity Press.

TESOL International Association. (2025). TESOL position statement: AI for the ELT profession. https://www.tesol.org/news/tesol-position-statement-ai-for-the-elt-profession/

Tran, T., Nguyen, C. H., & Nguyen, L. T. M. (Eds.). (2022). Educational innovation in Vietnam: Opportunities and challenges of the Fourth Industrial Revolution. Routledge. https://doi.org/10.4324/9781003202424

Trust, T., & Whalen, J. (2020). Should teachers be trained in emergency remote teaching? Lessons learned from the COVID-19 pandemic. Journal of Technology and Teacher Education, 28(2), 189-199. https://doi.org/10.70725/307718pkpjuu

Weller, M. (2012). The digital scholar: How technology is transforming scholarly practice. Bloomsbury Academic.

Zheng, C., & Wang, Y. (2026). Generative AI in EFL contexts: Q-methodological analysis of cognitive dissonance patterns and self-regulation strategies among Chinese tertiary learners. Acta Psychologica, 264, Article 106531. https://doi.org/10.1016/j.actpsy.2026.106531

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Published

2026-08-05

How to Cite

Tran, G. N., & Ngo, G. V. (2026). Redefining Teacher Roles in AI-driven Informal English Learning: Perspectives from Vietnamese EFL Educators. Vietnam Journal of Education, 10(4). https://doi.org/10.52296/vje.2026.886

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Section

ORIGINAL ARTICLES