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Kelly Angelly hevardani
Department of Mathematics, Universitas Negeri Padang, Padang, Indonesia
Computer Science & IT Education

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Students’ Perspectives on the Ethical Use of Generative AI in Mathematics Learning: A Case Study Kelly Angelly hevardani; Redy Williantama Zulhafendi
Journal of Applied Artificial Intelligence in Education Vol 1, No 2 (2026): January 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/jaaie.v1i2.325

Abstract

The increasing integration of Generative AI tools into mathematics classrooms has transformed how students access explanations, solve problems, and receive feedback. While these technologies offer significant pedagogical benefits, their ethical implications from students’ perspectives remain underexplored. This study investigates students’ perceptions of the ethical use of Generative AI in secondary mathematics learning through a qualitative case study design. The research was conducted in a senior secondary school that has integrated AI-powered tools into classroom instruction and homework activities. Data were collected from 24 students through semi-structured interviews, focus group discussions, classroom observations, and analysis of AI-assisted learning artifacts. Thematic analysis revealed five major ethical dimensions perceived by students: (1) academic integrity and dependency risk, (2) fairness and unequal access, (3) transparency and trust in AI-generated solutions, (4) data privacy concerns, and (5) shifting responsibility in mathematical reasoning. Findings indicate that while students value AI for instant explanations and efficiency, they also express uncertainty about overreliance, authenticity of learning, and the credibility of AI outputs. Based on these findings, the study proposes student-informed ethical guidelines for responsible AI integration in mathematics learning. The results contribute to ongoing discussions on governance, digital literacy, and the pedagogical alignment of Generative AI in education.
Co-Authors Redy Williantama Zulhafendi