Work

A case study of implementing generative AI in university’s general English courses

Year: 2024

Type: article

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.

Source: Contemporary Educational Technology

DOI: 10.30935/cedtech/15218

Authors: Yong Jik Lee, Robert O. Davis

Institutions: Kongju National University, Chonnam National University

Language: English

Topic: EFL/ESL Teaching and Learning

Subfield: Language and Linguistics

Field: Arts and Humanities

Domain: Social Sciences

SDG: Quality education

Open Access status: hybrid

Funder: Chonnam National University