Navigating Mathematical Proofs with AI: Investigating ChatGPT^s Contribution to Comprehension and Engagement Guntur Maulana Muhammad (a*), Ramdhan Fazrianto Suwarman (b), and Iden Rainal Ihsan (a)
a) Faculty of Teacher Training and Education, Universitas Samudra, Langsa 24416, Indonesia
b) Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Malang 65145, Indonesia
Abstract
This study explores the integration of ChatGPT, a generative artificial intelligence tool, into the learning of mathematical proofs in Group Theory among undergraduate mathematics education students. The research employs a qualitative methodology, incorporating task-based interviews, classroom observations, and artifact analysis to assess how ChatGPT supports students^ comprehension of proof structures and enhances engagement with complex mathematical concepts.Findings reveal that students who interacted with ChatGPT demonstrated increased confidence in their ability to analyze and construct proofs, highlighting the AI^s role in creating a nonjudgmental environment for inquiry. Participants reported that ChatGPT effectively clarified difficult concepts, broke down complex logical sequences, and provided immediate feedback, which significantly aided their understanding. Additionally, the study identified a notable improvement in students^ critical evaluation skills concerning AI-generated content. Students were able to engage in metacognitive reflection, comparing their own reasoning processes with the explanations provided by ChatGPT. This research contributes to the evolving body of literature on the role of AI in education, showcasing its potential to transform pedagogical practices in mathematics. By addressing diverse learning needs and fostering critical thinking skills, ChatGPT serves as a valuable cognitive scaffold, facilitating richer discussions and deeper reflections on mathematical proofs. The implications for mathematics education are profound, as this study not only demonstrates the benefits of AI integration but also lays the groundwork for future research on AI^s impact on learning outcomes in mathematics.
