Students’ use of generative artificial intelligence for proving mathematical statements

Author:

Yoon Hyunkyoung,Hwang Jihye,Lee Kyungwon,Roh Kyeong Hah,Kwon Oh NamORCID

Abstract

AbstractIn this exploratory study, we investigate undergraduate students’ engagement with generative Artificial Intelligence (genAI) in proving mathematical statements. We selected six mathematical statements to conduct interviews with three students. We present the emergent framework, Students’ Interactive Proving Experience with AI (SIPE-AI), which explains the processes of students’ use of genAI in their proving and the factors influencing these processes. Our findings identify three factors that shape students’ use of genAI: conceptions of proof, conceptions of genAI, and ethical considerations. The results suggest a need to guide undergraduate students in critically engaging with genAI tools, rather than passively accepting their outputs. We also discuss the implications of these findings for enhancing undergraduate mathematics education by fostering informed and critical use of genAI in mathematical proving.

Funder

Seoul National University

Publisher

Springer Science and Business Media LLC

Reference25 articles.

1. Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52–62.

2. Castle, S. D., Smith III, J. P., Levin, M., Hwang, J., Karunakaran, S. S., Küchle, V. A. B., & Elmore, R. (2022). Shifts in external authority and resources for sense-making in the transition to proof-intensive mathematics: The case of Amelia. In Proceedings of the 24th Annual conference on Research in Undergraduate Mathematics Education.

3. Firat, M. (2023). What ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1), 57–63.

4. Frieder, S., Pinchetti, L., Chevalier, A., Griffiths, R. R., Salvatori, T., Lukasiewicz, T., Petersen, P. C., & Berner, J. (2023). Mathematical capabilities of ChatGPT. arXiv:2301.13867

5. Ginsburg, H. (1997). Entering the child’s mind: The clinical interview in psychological research and practice. Cambridge University Press.

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