Integrating AI Into Language Learning: Insights from English Majors at a University in Vietnam
Artificial Intelligence (AI) has developed significantly over the past few years and is widely applied in language learning. Through complex algorithms, AI supports learners in all four English language skills including listening, speaking, reading and writing. This study investigates English majors' perceptions of AI and its tools in English language learning and examines how they utilize AI in their learning process and provides recommendations for better application of AI in English language learning. A descriptive quantitative research design was applied, with data collected through a survey questionnaire conducted via Google Forms. A total of 200 university students took part in the study during the second semester of the 2024–2025 academic year. The findings indicate that students mostly have positive perceptions of using AI in English language learning. In terms of how students' use of AI tools in English language learning, the findings present that students frequently use popular AI tools such as ChatGPT and QuillBot AI to enhance their English skills. Additionally, AI tools are not only used for improving language skills but also for translation, summarization, and generating suggestions. Although AI technologies have been integrated into education, students tend to use these tools more often at home, possibly because of limited technology use and traditional teaching methods. Notably, despite their frequent use of AI, students do not fully trust the results it generates. The findings serve as a valuable reference for teachers and educators, contributing to the advancement of English language teaching and learning in the Industry 4.0 era within the evolving educational landscape of Vietnam.
Institutions
- Thai Nguyen University (VN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-24
- DOI
- https://doi.org/10.5281/zenodo.15273457
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00