Title: Leveraging the Standards of Mathematical Practice: How Prospective Teachers Learn to Position AI as Problem Solving Partner
Date: March 26, 2026
Time: 12pm PST, 3pm EST
Cost: Free for members, $15 for nonmembers, $5 for student nonmembers
Description: This session invites participants to explore how AI can be positioned as a collaborative thought partner in mathematical problem solving and how this positioning influences learner engagement with the Standards for Mathematical Practice. Drawing on longitudinal, multi- method research with mathematics teachers, participants will explore empirical examples of learner-AI interactions during a mathematical modeling task and identify evidence of these practices. Building on this analysis, participants will engage in mathematical tasks using different AI tools commonly found in mathematics learning environments (e.g., Snorkl, Sizzle). The session concludes with discussion of the capabilities and limitations of AI tools and how existing effective mathematics teaching practices can inform intentional integration of AI in K–16 classrooms, teacher preparation, and professional learning settings.
Speakers: Zuhal Yilmaz, Terrie M. Galanti, Nirmala Naresh