Aug 27 – 29, 2026
University of Foreign Language Studies, The University of Danang, Vietnam
Asia/Ho_Chi_Minh timezone
Repositioning English: From Foreign to Second Language

EXPLORING LEARNERS’ READINESS AND BELIEFS IN ESP VOCABULARY LEARNING: A TECHNOLOGY ACCEPTANCE MODEL APPROACH

Not scheduled
45m
Poster Technology and L2 Learning Posters

Speaker

Mrs Thi Thu Nga Tran (Tran Quoc Hoan Academy)

Description

Abstract
Artificial Intelligence (AI) integration into English for Specific Purposes (ESP) education is becoming increasingly prevalent in Vietnam and other countries. This study investigated Vietnamese university students’ readiness and beliefs regarding AI-powered applications for ESP vocabulary development, in relation to their attitudes and behavioral intentions. A mixed-methods design was employed, involving a questionnaire distributed to 160 non-English-major students at a Vietnamese university, and follow-up semi-structured interviews with 10 participants. Overall, the findings demonstrated high levels of students’ readiness across five dimensions, including technological and infrastructural readiness, AI knowledge readiness, affective/motivational readiness, linguistic readiness, and cognitive readiness.
The students also expressed relatively high levels of beliefs in the perceived usefulness and ease of use of AI-powered applications. As a result, these high levels of readiness and positive beliefs fostered favorable attitudes and strong behavioral intentions to adopt AI tools, as supported by the Technology Acceptance Model (TAM). Although this model was developed a long time ago, it remains valuable and relevant in the current context of applying AI in language teaching; therefore, its application should be further extended in AI-supported learning environments. Nevertheless, in the specific context of this study, both learner readiness and beliefs still have room for improvement through targeted enhancements. Finally, several practical implications are proposed to maximized AI-powered applications in enhancing ESP vocabulary proficiency within Vietnamese higher education contexts.
Keywords: AI-powered applications, ESP vocabulary, learner beliefs, learner readiness, Technology Acceptance Model, Vietnamese university

Biography

English lecturer at Tran Quoc Hoan Academy
Primary Research Areas: Applied Linguistics, Second Language Acquisition, Language Assessment, and Technology-Enhanced Language Learning

Affiliate type University

Author

Mrs Thi Thu Nga Tran (Tran Quoc Hoan Academy)

Co-authors

Ms Thi Nguyet Le (People's Public Security University) Mrs Thi Huong Tra Hoang (People's Police College 1)

Presentation materials

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