Gender and Academic Level Differences in Artificial Intelligence Usage for Academic Writing in Indonesian Higher Education
Abstract
The rapid spread of AI chatbots has begun to reshape how university students plan, draft, revise, and evaluate academic writing. Although recent studies have examined students’ perceptions of generative AI in higher education, less is known about how students in regional Indonesian universities understand and use these tools, particularly when viewed across gender, age, and academic level. This study investigated the perceptions and reported use of AI chatbots among 267 students from four universities in East Kalimantan. A mixed-method survey design was used. Quantitative responses were analyzed through descriptive statistics and Spearman’s rho correlation, while open-ended responses were coded to identify the AI tools students reported using for academic writing. The results show that AI use was widespread, with 94.76% of respondents indicating that they had used AI in academic writing. Students generally held positive views of AI chatbots, especially for improving writing effectiveness, language quality, and the revision process. At the same time, their responses revealed continuing ethical and pedagogical uncertainty, particularly around learning, authorship, and the boundary between assistance and cheating. Correlation analysis showed weak relationships between students’ perceptions and gender, age, or semester, suggesting that AI chatbot use was broadly shared across demographic groups. The study offers regional evidence from Indonesian higher education and underscores the need for clearer AI literacy instruction, responsible-use guidelines, and process-based academic writing pedagogy.
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