A case study of implementing generative AI in university’s general English courses
Yong‐Jik Lee, R. O. Davis
Abstract
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.
Topics & Concepts
Generative grammarMathematics educationComputer scienceTeaching methodPedagogyLinguisticsPsychologyNatural language processingArtificial intelligencePhilosophyEducational Technology and PedagogyDiverse Interdisciplinary Research InnovationsOnline Learning and Analytics