English Majors’ and Non-English Majors’ Perceptions and Readiness For AI-Assisted Learning in English Language Courses: An Exploratory Study
DOI:
https://doi.org/10.54855/979-8-9870112-9-4_7Keywords:
AI, Artificial Intelligence, LMS, Learning Management Systems, perceptions, integration, English language teaching and learning, readinessAbstract
This mixed-methods study aims to investigate the perceptions and readiness for AI-triggered English learning across 40 first-year English majors and 40 first-year non-English majors at HUFLIT University, Vietnam. The quantitative findings reported strong evidence of PU, PEOU, and BI, implying substantial readiness for AI integration. Qualitative findings were more homogeneous and demonstrated five overarching themes: the convenience and accessibility of integral enabling factors; digital literacy and confidence; hindrance factors, including accuracy concerns and over-reliance; a need for institutional support and ethical guidelines; and a desire for better AI functionality. The results indicate that AI readiness at the first-year level depends more on digital exposure and institutional support than on a student’s academic major. The research provides empirical substance from a little-studied Vietnamese higher education setting and highlights the importance of integrating AI-related policies that are pedagogically justified and ethically responsible.
References
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Carolus, A., Koch, M. J., Straka, S., Latoschik, M. E., & Wienrich, C. (2023). MAILS-Meta AI literacy scale: Development and testing of an AI literacy questionnaire based on well-founded competency models and psychological change-and meta-competencies. Computers in Human Behavior: Artificial Humans, 1(2), 100014. https://doi.org/10.1016/j.chbah.2023.100014
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE.
Cui, Y. (2025). What influences college students using AI for academic writing?-A quantitative analysis based on HISAM and TRI theory. Computers and Education: Artificial Intelligence, 8, 100391. https://doi.org/10.1016/j.caeai.2025.100391
Dai, Y., Chai, C. S., Lin, P. Y., Jong, M. S. Y., Guo, Y., & Qin, J. (2020). Promoting students’ well-being by developing their readiness for the artificial intelligence age. Sustainability, 12(16), 6597. https://doi.org/10.3390/su12166597
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Du, T. T., Dung, D. T. B., Ly, H. T. B., Huong, N. T. K., Triet, A. M., & Xuan, N. T. (2025). Students’ Perceptions of Artificial Intelligence in Academic Writing: A Case at A University in Vietnam. Eurasian Journal of Applied Linguistics, 11(2), 122-134.
Guan, L., Li, S., & Gu, M. M. (2024). AI in informal digital English learning: A meta-analysis of its effectiveness on proficiency, motivation, and self-regulation. Computers and Education: Artificial Intelligence, 7, 100323. https://doi.org/10.1016/j.caeai.2024.100323
Hading, E. F., Rustan, D. R. H. P., & Ruing, F. H. (2024). EFL Students’ Perceptions on the Integration of AI in Fostering Critical Thinking Skills. GLENS: Global English Insights Journal, 2(1), 1–10. https://doi.org/10.61220/GLENS.V2I1.466
Hien, H. V. (2025). The interplay between Vietnamese EFL students’ artificial intelligence literacy and tool usage for academic writing. TNU Journal of Science and Technology. 230, 393–400. https://doi.org/10.34238/tnu-jst.12221
Phan, T. N. L. (2023, November). Students' perceptions of the AI technology application in English writing classes. In Proceedings of the AsiaCALL International Conference (Vol. 4, pp. 45-62). DOI: https://doi.org/10.54855/paic.2344
Li, B., Tan, Y. L., Wang, C., & Lowell, V. (2025). Two years of innovation: A systematic review of empirical generative AI research in language learning and teaching. Computers and Education: Artificial Intelligence, 100445. https://doi.org/10.1016/j.caeai.2025.100445.
Nguyen, T. H. (2025). Exploring Vietnamese Students' Intention to Adopt AI-Powered Study Tools: Integrating TPB and TAM. Educational Process: International Journal, 16, e2025283. https://doi.org/10.22521/edupij.2025.16.283
Nhan, D. L. T. (2025). Examining the impact of AI-assisted preparation on Vietnamese EFL learners’ willingness to communicate in English. ICTE Conference Proceedings, 9, 86–106. https://doi.org/10.54855/979-8-9870112-9-4_6
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Peña-Acuña, B., & Corga Fernandes Durão, R. (2024, November). Learning English as a second language with artificial intelligence for prospective teachers: a systematic review. In Frontiers in education (Vol. 9, p. 1490067). Frontiers Media SA. https://doi.org/10.3389/FEDUC.2024.1490067
Pham, N. T. B., & Tran, T. M. (2025). Students’ Perceptions of AI Language Models as Virtual Assistants in Learning Writing - A Case Study at a Tertiary Institution. International Journal of TESOL & Education, 5(2), 87-115. DOI: https://doi.org/10.54855/ijte.25525.
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Copyright (c) 2025 Nguyen Thi Kim Tuyen, Nguyen Thi Thuy Diem , Trinh Duc Dong
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