English Majors’ and Non-English Majors’ Perceptions and Readiness For AI-Assisted Learning in English Language Courses: An Exploratory Study

Authors

DOI:

https://doi.org/10.54855/979-8-9870112-9-4_7

Keywords:

AI, Artificial Intelligence, LMS, Learning Management Systems, perceptions, integration, English language teaching and learning, readiness

Abstract

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.

Author Biographies

Nguyen Thi Kim Tuyen, Faculty of Foreign Languages, Ho Chi Minh City University of Foreign Languages - Information Technology, Ho Chi Minh City, Vietnam

Tuyen Thi Kim Nguyen is a lecturer as well as a researcher at the Faculty of Foreign Languages, Ho Chi Minh City University of Foreign Languages - Information Technology, Vietnam. She has been teaching English since 2020, specializing in IELTS preparation and English language teaching methodology. Her research interests include applied linguistics, language assessment, and innovative approaches to EFL teaching.

Nguyen Thi Thuy Diem , Faculty of Foreign Languages, Ho Chi Minh City University of Foreign Languages - Information Technology, Ho Chi Minh City, Vietnam

Nguyen Thi Thuy Diem is a lecturer and a researcher at the Faculty of Foreign Languages, Ho Chi Minh City University of Foreign Languages - Information Technology, Vietnam. She has been teaching English since 2007, specializing in IELTS preparation and English language teaching methodology. Her research interests include applied linguistics, language assessment, and innovative approaches to EFL teaching.

Trinh Duc Dong, Faculty of Foreign Languages, Ho Chi Minh City University of Foreign Languages - Information Technology, Ho Chi Minh City, Vietnam

Dong Trinh Duc is a lecturer and researcher at Ho Chi Minh City University of Foreign Languages – Information Technology (HUFLIT). With 25 years of experience in teaching English to EFL learners, he focuses on English language theories, translation, TESOL, and language skills development. His work includes developing an AI chatbot to support language learning, and he has contributed 4 papers to national conferences and 5 papers to international conferences on English language skills and language theory. He is particularly interested in AI-enabled pedagogy, educational technology, and SLA-informed teaching approaches, aiming to reduce learners’ anxiety and improve achievement through effective scaffolding. In this presentation, Dong Trinh Duc will share insights on “AI-Mediated Scaffolding in a First-Year SLA Course: An Action Research Study of Achievement Gains and Learner Perceptions” and discuss practical approaches to using AI chatbots to lessen learners’ burden and anxiety while strengthening learning outcomes.

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Published

21-03-2026

How to Cite

Nguyen, T. K. T., Nguyen, T. T. D., & Trinh, D. D. (2026). English Majors’ and Non-English Majors’ Perceptions and Readiness For AI-Assisted Learning in English Language Courses: An Exploratory Study. ICTE Conference Proceedings, 9, 107–120. https://doi.org/10.54855/979-8-9870112-9-4_7

Issue

Vol. 9 (2025): 1st VietCALL International Convention

Section

Research Articles

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Copyright (c) 2025 Nguyen Thi Kim Tuyen, Nguyen Thi Thuy Diem , Trinh Duc Dong

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