| Title | AI and the Assessment of Mathematical Thinking: How to guard against “cognitive offloading” and enable students’ critical thinking through and with AI |
|---|---|
| Faculty/College/Unit | Science |
| Status | Active |
| Duration | 3 Years |
| Initiation | 04/01/2025 |
| Project Summary | This project aims to integrate LLMs into Math 220 (Mathematical Proof) to improve students' mathematical thinking, train students to use LLM's in a constructive manner that benefits their learning, and improve student awareness of the limitations of LLMs. The project will build on existing open-source materials, including the PLP course textbook, to design exercises that test the boundaries of LLM-generated solutions. Aligned with TLEF’s “Education Renewal” focus, this initiative will adapt quizzes, homework, and class exercises to encourage students to identify and correct errors in LLM outputs. Our goal with this project is to promote critical thinking and to help students understand both the capabilities and constraints of LLMs in mathematics so that they learn how to use these tools more effectively without sacrificing their own learning and understanding. |
| Funding Details | |
| Year 1: Project Year | Year 1 |
| Year 1: Funding Year | 2025/2026 |
| Year 1: Project Type | Small TLEF |
| Year 1: Principal Investigator | Nahid Walji |
| Year 1: Funded Amount | 20,000 |
| Year 1: Team Members | Nahid Walji, Assistant Professor of Teaching, Mathematics, Faculty of Science |