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Exploring the GenAI Literacy of Chinese University Students in EFL Learning

Exploring the GenAI Literacy of Chinese University Students in EFL Learning
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Author(s): Tongtong Li (Beijing Jiaotong University, China)and Yan Ding (Beijing Jiaotong University, China)
Copyright: 2025
Volume: 15
Issue: 1
Pages: 24
Source title: International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT)
Editor(s)-in-Chief: Bin Zou (Xi'an Jiaotong-Liverpool University, China)and David Barr (Ulster University, United Kingdom)
DOI: 10.4018/IJCALLT.377175

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Abstract

Although research on generative artificial intelligence (GenAI) has expanded rapidly, limited attention has been given to students' GenAI literacy in English as a foreign language learning, particularly from a process-oriented perspective. To address this gap, a process-oriented analytical framework was proposed and applied to examine Chinese university students' GenAI literacy in English as a foreign language learning. The analysis drew on three datasets from the same cohort of 144 students: focus group transcripts, GenAI usage reports from a video presentation project, and presentation scripts developed with GenAI support. The findings reveal dual challenges in students' GenAI literacy: a tendency to underutilize advanced functionalities while over-relying on GenAI for basic tasks. Additionally, the results underscore the significant influence of contextual factors in shaping student–GenAI interactions. Theoretical and pedagogical implications of these findings are discussed.

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