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Interactive
Math Games
& Activities

Mouse Maze - Inference Game

Click to play online.

Teacher Guide:  pdf doc

Connect the Dots - A Research Setting

Our favorite starting research setting for teaching math investigations.  Click here to use it online.

Yucky Chocolate & Chomp - Strategy, Proof, & Problem-posing

Click to play online. Click for html version.

Teacher Guide:  pdf doc

Number Squeeze - Fraction and Decimal Ordering Game

Click to play online. Click for html version.

Teacher Guide:  pdf doc

Patterns Rule!

Iterative pattern generating tool for exploring fractions, sequences and series, fractals, Markov processes, and more. 

Click here to explore online.  User's guide: online or pdf.

Factor Finder - Practice Your Multiplication In Reverse

A game that helps you see the connections between multiplication facts. Click here to use it online. User Guide:  pdf.

Teacher Guide:  pdf​.

Gerrymandering: Where Politics and Geometry Clash

An interdisciplinary investigation

Click to play the intro and advanced versions online.

Teacher Guide:  pdf doc.

Zoe's Zoo - Logic Game

Problem solving with logic gates

Click to play online. User's guide: online or pdf. Video demo online.

GeoProof Studio - Develop proofs exploring their full structure

A tool for developing and displaying proofs in synthetic geometry.

Click here to use this program online.

User's guide:  pdf doc.

Teacher Guide:  pdf doc.

Sample .geoproof activity files zip

See more ways to use GPS with quadrilaterals on our geometry page.

All of the above programs were designed in detail by Joshua Abrams. Some he initially coded in Netlogo, Python, and even Pascal (for those of you who remember that one), but all of the above versions were written using LLMs. As much as Josh enjoys coding, he has found it gratifying to get to focus on the curriculum development process and have a programming team of LLMs to do the technical work. Despite the constant claims in the media about a single AI prompt producing working code, most of these programs, lacking similar pre-existing models for LLM training, required many days of fine-tuning. It is a fascinating (and sometimes frustrating) process, but it is far more efficient than doing it by hand and has freed up time for creatively developing new tools for student investigations. 

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