An innovative AI-supported technique in enhancing grammar accuracy in English medium education at a university in Vietnam

Linh Vo

doi:10.65956/procia.2026.113

Authors

Linh Vo Corresponding author email: linh.vt@ou.edu.vn Ho Chi Minh City Open University https://orcid.org/0000-0002-5837-9696

DOI:

https://doi.org/10.65956/procia.2026.113

Keywords:

AI-driven approach, ChatGPT, EME, grammar accuracy, writing skills

Abstract

To address English Medium Education (EME) biotechnology students’ grammar concerns in specialized writing, an innovative technique combining Murray’s Process Approach Theory (1972) and Willis’s (1996) and Ellis’s (2003) Task-Based Language Teaching Method was implemented. An 8-week ChatGPT intervention on grammar accuracy was conducted with EME biotechnology freshmen at a Ho Chi Minh City university. A quantitative study of 42 participants included an experimental group using ChatGPT for writing assignments and a control group receiving conventional writing instruction. Both groups’ grammatical competence was assessed via pre- and post-tests; the experimental group’s attitudes were explored through an English-Vietnamese questionnaire. Findings showed the experimental group’s grammar accuracy significantly outperformed the control group. Questionnaire data revealed positive behaviours, including higher self-efficacy and motivation for learning writing grammar. These findings suggest ChatGPT improves grammar as an effective writing assistant in EME contexts, offering real-time feedback and promoting autonomous learning to overcome grammar anxiety. The study also suggests educators address over-reliance and technology knowledge gaps for EME scenarios. Finally, limitations such as small sample size, focus only on grammar, and limited generalizability were reported and expected to be fulfilled in the future.

Author Biography

Linh Vo, Ho Chi Minh City Open University

Vo Thuy Linh is a dedicated English lecturer at Ho Chi Minh City Open University, Vietnam, holding a Ph.D. in Theories and Methodologies of English Language Teaching. With extensive experience in teaching undergraduate and postgraduate students majoring in English Linguistics and English Teaching Methodology, she has developed a strong foundation in delivering effective and engaging language instruction. Her academic passion lies in exploring innovative approaches within the field of English Language Teaching (ELT), with a particular focus on pronunciation instruction, technology-enhanced learning, and the integration of Artificial Intelligence (AI) in lesson design. Her goal is to empower learners with practical strategies to enhance their overall language proficiency, especially in mastering English, while contributing to the advancement of contemporary teaching methodologies.

References

Barrot, J. S. (2023). Using ChatGPT for second language writing: Pitfalls and potentials. Assessing Writing, 57, 1-6. https://doi.org/10.1016/j.asw.2023.100745

Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (pp. 610-623). Association for Computing Machinery. https://doi.org/10.1145/3442188.3445922

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

Dang, T. T. (2024). Cultural and situational constraints on undergraduate students’ performance of learner autonomy in EFL learning. Journal of Language Teaching & Research, 15(6). https://doi.org/10.17507/jltr.1506.04

Dang, T. T. (2025). AI tools for language learners: The promotion of learning independence or reliance. In Pham, V. P. H., Lian, A., Lian, A., White, J. (Eds.), Empowering educators: Integrating AI tools for personalized language instruction, (pp. 263-280). Springer Nature. https://doi.org/10.1007/978-3-032-01348-4_11

Ellis, R. (2003). Task-based language learning and teaching. Oxford University Press. DOI: https://doi.org/10.65961/AJELT-2003-1-009

Ferris, D. R. (2006). Does error feedback help student writers? New evidence on the short- and long-term effects of written error correction. In K. Hyland & F. Hyland (Eds.), Feedback in second language writing: Contexts and issues (pp. 81-104). Cambridge University Press. https://doi.org/10.1017/CBO9781139524742.007

Godwin-Jones, R. (2022). Partnering with AI: Intelligent writing assistance and instructed language learning. Language Learning & Technology, 26(2), 5-24. https://doi.org/10.64152/10125/73474

Graham, S., & Sandmel, K. (2011). The process writing approach: A meta-analysis. The Journal of Educational Research, 104(6), 396-407. https://doi.org/10.1080/00220671.2010.488703

Hinkel, E. (2004). Teaching academic ESL writing: Practical techniques in vocabulary and grammar. Lawrence Erlbaum Associates. https://doi.org/10.4324/9781410609427

Ho, N. B. & Dang, T. T. (2019). Impacts of online formative assessment on EFL students’ writing achievement. Journal of Science Ho Chi Minh City Open University, 9(1). 55-69. https://doi.org/10.46223/HCMCOUJS.soci.en.9.1.271.2019

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

Hyland, K. (2016). Teaching and researching writing (3rd ed.). Routledge. https://doi.org/10.4324/9781315717203

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., . . . Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 1-13. https://doi.org/10.1016/j.lindif.2023.102274

Krashen, S. D. (1982). Principles and practice in second language acquisition. Pergamon Press.

Kuteeva, M., & Airey, J. (2014). Disciplinary differences in the use of English in higher education: Reflections on recent language policy developments. Higher Education, 67(5), 533-549. https://doi.org/10.1007/s10734-013-9660-6

Macaro, E., Curle, S., Pun, J., An, J., & Dearden, J. (2018). A systematic review of English medium instruction in higher education. Language Teaching, 51(1), 36-76. https://doi.org/10.1017/S0261444817000350

Manchón, R. M. (Ed.). (2011). Learning-to-write and writing-to-learn in an additional language. John Benjamins Publishing Company. https://doi.org/10.1075/lllt.31

Murray, D. M. (1972). Teach writing as a process not product. The Leaflet, 71(3), 11-14.

Nguyen, H. T., Fehring, H., & Warren, W. (2015). EFL teaching and learning at a Vietnamese university: What do teachers say? English Language Teaching, 8(1), 31-43. https://doi.org/10.5539/elt.v8n1p31

Pham, T. H. T. (2008). The roles of teachers in implementing educational innovation: The case of implementing cooperative learning in Vietnam. Asian Social Science, 4(1), 3-9. https://doi.org/10.5539/ass.v4n1p3

Polio, C. (1997). Measures of linguistic accuracy in second language writing research. Language Learning, 47(1), 101-143. https://doi.org/10.1111/0023-8333.31997003

Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1), 342-363. https://doi.org/10.37074/jalt.2023.6.1.9

Stevenson, M., & Phakiti, A. (2014). The effects of computer-generated feedback on the quality of writing. Assessing Writing, 19, 51-65. https://doi.org/10.1016/j.asw.2013.11.007

Truscott, J. (1996). The case against grammar correction in L2 writing classes. Language Learning, 46(2), 327-369. https://doi.org/10.1111/j.1467-1770.1996.tb01238.x

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

Willis, J. (1996). A framework for task-based learning. Longman.

Woodrow, L. (2011). College English writing affect: Self-efficacy and anxiety. System, 39(4), 510-522. https://doi.org/10.1016/j.system.2011.10.017

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education - where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1-27. https://doi.org/10.1186/s41239-019-0171-0