Exploring IT Students’ Use of Generative AI for Technical Vocabulary Learning: A Qualitative Study
Keywords:
Generative AI, Technical vocabulary, ESP, IT students, Learner autonomyAbstract
This study explores how Information Technology (IT) students use generative Artificial Intelligence (AI) tools to support technical vocabulary learning in an English for Specific Purposes (ESP) context. Adopting a qualitative design, the study involved 20 third-year IT students at a private university in Hanoi, Vietnam. Data were collected through semi-structured interviews and analyzed using thematic analysis. The findings indicate that students use generative AI as part of a multimodal learning ecosystem, combining tools such as chatbots and coding assistants to explain technical terms, generate examples, and simplify complex concepts. AI was found to enhance conceptual understanding and promote learner autonomy. However, concerns regarding over-reliance and the accuracy of AI-generated content were also reported. The study highlights the importance of guided AI integration and the development of critical AI literacy in ESP instruction.
References
Benson, P. (2011). Teaching and researching autonomy. Pearson Education.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. doi:10.1191/1478088706qp063oa
Dang, N., Dao, B., & Ta, T. (2025). Learning English for specific purposes using artificial intelligence: University students’ perspectives. VNU Journal of Social Sciences and Humanities, 11(2), 173-190. doi:10.33100/tckhxhnv11.2.DangNgocQuang.etal
Dang, T. M. (2025). Undergraduates’ reflection on applying ChatGPT in ESP Writing skills: A case from Foreign Trade University HCMC. Proceedings of the International CALL Research Conference, 2025, (pp. 29-34). doi:10.29140/97817637116240-04
Doan, M. H. (2025). The current practices of teaching and learning ESP at a sport university in Vietnam. VietTESOL International Convention Proceedings, 5, pp. 466-492. Retrieved from https://proceedings.viettesol.org.vn/index.php/vic/article/view/214
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., . . . Albanna, H. (2023). “So What If ChatGPT Wrote It?” Multidisciplinary Perspectives on Opportunities, Challenges and Implications of Generative Conversational AI for Research, Practice and Policy. International Journal of Information Management, 71. doi:10.1016/j.ijinfomgt.2023.102642
Evans, V., Dooley, J., & Wright, S. (2011). Career Paths: Information Technology. Express Publishing.
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., F. F., . . . Seidel, T. (2023). ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education. Learning and Individual Differences, 103. doi:10.1016/j.lindif.2023.102274
Nation, I. S. (2022). Learning Vocabulary in Another Language. Cambridge University Press.
Nguyen, D. Q. (2025). Exploring Vietnamese EFL lecturers’ attitudes towards AI integration: Pedagogical adaptations, ethical concerns, and teaching philosophies. The 2nd International Conference on Language Development (ICLD 2025), (pp. 106-115). doi:10.5281/zenodo.15826447
Zhai, X. (2022). ChatGPT user experience: Implications for education. SSRN Electronic Journal. doi:10.2139/ssrn.4312418
