🤖✏️ AI vs. Math Diagrams: Why the Struggle is Real
AI is great at some things in education: whipping up practice problems, breaking down concepts, or even adjusting lessons for different grade levels. But when it comes to the graphics side of math - like probability tree diagrams, Venn diagrams, or geometry visuals - it often falls flat.
🔗 If you want a quick deep dive, check out this article: Using AI to Create Maths Resources. It shows a step-by-step way to get better results when you need AI to help with diagrams.
So why is this tricky for AI? Most large language models are built for text. They’re amazing at stringing words and numbers together, but not so great at making precise visuals. Diagrams depend on exact placement, scale, and relationships between elements - things that AI doesn’t always handle well. The result can be messy, inaccurate, or just not classroom-ready.
There is a workaround, though. One option is using LaTeX, a typesetting system that gives you fine-tuned control over math notation and diagrams. As Eric Eckstein, CGESD instructional coach, frames it:
The LaTeX workaround works well with any document where you need to have special diagrams. For math worksheets, this can be probability tree diagrams, Venn diagrams, etc., which are challenging to draw or use an equation editor for. It works best if you can train it with an example image or PDF.
The bottom line? AI shines with text and explanations, but diagrams are still a weak spot. Knowing that limitation (and a few workarounds) makes a huge difference when creating math resources.
💡 Discussion prompt: Have you tried making math diagrams with AI? What worked, and what still felt frustrating?


