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The Journal of Asia TEFL |
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  Current Issue |
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Go List
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Volume 22 Number 1, Spring 2025, Pages 1-202 |
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Profiling and Understanding EFL University Students' Purposes for Using ChatGPT: A Latent Profile Analysis
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Myunghwan Hwang, Eunmi Lee & Hee-Kyung Lee
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This study aims to identify distinct profiles, or groups among Korean EFL university students based on their purposes for using ChatGPT and to explore the effects of gender, academic discipline, and English self-efficacy on these profiles. Additionally, it examines how these profile types influence ChatGPT acceptance. A quantitative approach was employed, involving data collection through an online survey. A total of 400 valid responses were analyzed using latent profile analysis (LPA), Chi-square tests, and One-Way ANOVA. The findings of the study are presented as follows: First, five distinct profiles were identified: “Active Users,” “Passive Users,” “Input/Output Seekers,” “Comprehensive Active Users,”and “Translation-Focused Users.” Second, gender did not significantly influence profile type, whereas academic discipline and English self-efficacy did. Third, significant differences were observed in learners' perceived usefulness, ease of use, and intention to continue using ChatGPT based on their profile type. These findings emphasize the importance of tailoring educational interventions to user profiles to enhance the acceptance and effective use of ChatGPT in English language teaching and learning.
Keywords: ChatGPT, Latent profile analysis (LPA), ChatGPT purpose profile, ChatGPT usage, University students, ChatGPT-integrated language learning |
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