Math Moves: When AI, Movement, and a Crazy Idea Collide
I didn't plan to build a platform in a day.
But I had a question I couldn't shake:
What if we could diagnose a student's math misconception… and immediately turn it into a physical game that helps them fix it?
And what if AI could do most of the work?
That was the spark behind Math Moves—a platform I built in about 24 hours that's now helping schools use AI to analyze handwritten student work, find high-leverage math gaps, and generate movement-based games to reteach the concept through collaboration and joy.
Here's how it works:
Pretest – Students complete a short math assessment. It can be digital or handwritten. (Yes—handwritten. The AI reads it.)
Analysis – The AI scans the work, tags it by standard, and identifies common misconceptions.
Game Generation – A conceptual PE game is created—on the spot—to address the exact misunderstanding through movement.
Post-Test – Students reflect and retest. Teachers see growth instantly.
No more guessing. No more generic practice.
Just targeted, joyful learning that gets kids moving, thinking, and talking.
Why It Matters
It's fast. Teachers don't lose hours analyzing work.
It's fun. Kids cheer for each other while learning math.
It's flexible. It works with real, messy, handwritten student work.
And it was built in a day—because the tools are finally here.
Math Moves is proof that when educators dream big and move fast, AI can amplify—not replace—our work.
This is the future of intervention. And it's already happening.
Want to bring it to your school? I'd love to show you how.