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The Evidence Base on AI in K-12: A 2026 Review

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Gen AI In Proof-Based Math Courses: A Pilot Study

Authors
Hannah Klawa,
Shraddha Rajpal,
Cigole Thomas
Date
Publisher
arXiv
Link
https://arxiv.org/abs/2509.13570v2
With the rapid rise of generative AI in higher education, understanding how students use AI is increasingly important. This exploratory study examines student use and perceptions of generative AI across three proof-based undergraduate mathematics courses: a first-semester abstract algebra course, a topology course, and a second-semester abstract algebra course. In each case, course policy permitted some use of generative AI. Drawing on survey responses and student interviews, we analyze how students engaged with AI tools as well as their perceptions of generative AI's usefulness, accuracy and limitations.
What is the application?
Learning – Student Support
Who is the user?
Student
Who age?
Post-Secondary
Why use AI?
Outcomes – Numeracy
Study design
Descriptive – Implementation and Use