Date
Thursday, October 15, 2026
Time
3:00 PM - 3:50 PM
Location Name
BL 22
Name
One Class, Many Entry Points: Using AI to Design More Accessible Math
Description
Students bring different strengths, needs, languages, and ways of engaging with math. The challenge is creating learning experiences where more students can access grade-level mathematics, participate meaningfully, and exercise agency. Can AI help?
In this interactive workshop, participants explore how generative AI can support learner-centered instruction without lowering rigor. We’ll briefly examine how AI works and why that matters for math, then focus on how teachers can use AI to create open entry points, richer discussion, and more ways for students to engage deeply with mathematics.
Using a shared task, participants will test prompts, critique AI-generated supports, and revise outputs using Universal Design for Learning (UDL) principles and math-specific strategies grounded in National Council of Teachers of Mathematics (NCTM) research. Participants will leave with practical examples, a simple evaluation framework, and a repeatable process for inclusive lesson design.
Speakers
Session Type
Traditional Workshop
Track
AI Implementation
Secondary Track
Differentiated Instruction
Primary Audience
Middle School
Secondary Audience
General Educators
Fall Conference Strands
Educate
MA DLCS Strands
Digital Tools and Collaboration