Integrating AI in Math Teaching: Glimpses of the Future
In Envisioning AI’s Role in Tomorrow’s Math Classrooms, I explain that Math teachers who want to understand how AI fits into their world need help envisioning how students will engage with mathematics in an AI-shaped future. Without a clear sense of what’s possible, teachers risk being unprepared to support evolving student needs. In this sense, vision isn’t a luxury; rather, it’s the essential first step toward any meaningful integration of AI in instruction.
In my new guidebook, Integrating AI in Math Teaching: A Comprehensive Guide for K-12 Teachers, I offer near-future classroom scenarios to help guide math teachers. The AI tools described are fictional, but their capabilities are grounded in what’s highly plausible within the next year or two.
My new guidebook will be available on July 3rd.
The AI capabilities in these vignettes—natural language questioning, multimodal input interpretation, adaptive visual supports, and reasoning-aware scaffolds—aren’t speculative science fiction. They’re extensions of tools we already have. Apps like Khanmigo, Wolfram Alpha, Desmos Classroom, GeoGebra, Snorkl, and ChatGPT already hint at this future. Meanwhile, teacher-assistant tools like MagicSchool, Brisk, and SchoolAI are building FERPA-compliant ecosystems that promise to bring these capabilities into more classrooms safely and scalably.
That said, this kind of AI-enhanced instruction doesn’t happen by accident. It requires clear vision, intentional design, and thoughtful implementation. Teachers must make choices about which tools to use, how to use them, and how to balance technology with pedagogy.
NTCM President Kevin Dykema wrote that the mathematics education community must consider how best to integrate AI into mathematics teaching and learning.
Download my guidebook for free
come July 3rd and learn how!
