Exploring the GenAI Literacy of Chinese University Students in EFL Learning
Tongtong Li and
Yan Ding
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Tongtong Li: Beijing Jiaotong University, China
Yan Ding: Beijing Jiaotong University, China
International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), 2025, vol. 15, issue 1, 1-24
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.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jcallt:v:15:y:2025:i:1:p:1-24
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