Generative AI Use in Indonesian Language Learning: A Descriptive Survey of University Students
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Abstract
Despite considerable research attention to generative artificial intelligence (GenAI) in higher education, empirical evidence on its use in Indonesian language courses remains limited, particularly studies integrating usage, perceptions, opportunities, challenges, AI literacy, and ethics. This study aimed to describe these six dimensions among first-year university students. A quantitative descriptive survey involved 69 students from two parallel classes. Data were collected using a 30-item questionnaire (Cronbach’s α = .752–.873) and analyzed using descriptive statistics, categorical interpretation, and supplementary nonparametric comparisons. The findings showed that 87.0% of students had used GenAI, primarily Gemini and ChatGPT. Perceptions (M = 3.79), opportunities (M = 3.70), and ethical awareness (M = 3.82) were high, whereas challenges (M = 3.37), AI literacy (M = 3.27), and usage intensity (M = 2.88) were moderate. Users scored higher than non-users on perceptions, opportunities, and AI literacy; however, among users, AI literacy was not associated with frequency or duration of use. These findings suggest that students’ acceptance of GenAI exceeds their AI literacy, identifying a potential acceptance–competence gap in GenAI adoption. The study contributes a conceptual perspective on this gap and highlights the need for lecturers and institutions to integrate structured AI literacy and ethics instruction into Indonesian language courses. Further research should examine this gap using larger samples and performance-based measures.
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