A case study of implementing generative AI in university’s general English courses
This research investigated the effects of generative AI on affective factors (motivation, interest, and confidence) of English as a foreign language (EFL) learners enrolled in Korean university-level general English courses. During the Spring 2024 semester, this study involved 89 participants exposed to a generative AI-based instruction model. Compared to traditional methodologies, these results highlight the potential effectiveness of generative AI-based English instruction for writing and speaking in supporting linguistic proficiency and positive affective attitudes toward language learning among EFL learners.
Authors
- Yong‐Jik Lee (ORCID: https://orcid.org/0000-0001-8783-2237)
- R. O. Davis
Institutions
- Chonnam National University (KR)
- Kongju National University (KR)
- Gongju National University of Education (KR)
Publication Details
- Journal
- Contemporary Educational Technology
- Published
- 2024-09-28
- DOI
- https://doi.org/10.30935/cedtech/15218
- Citations
- 10
- Primary Topic
- Educational Technology and Pedagogy
- Type
- article
- Field-Weighted Citation Impact
- 3.47
Funders
- Chonnam National University