ResearchRecap for Educators
A weekly briefing service for high school and undergraduate instructors that translates the latest AI-math-research milestones into ready-to-teach classroom examples and discussion prompts.
High school AP math teachers and undergraduate instructors wanting current examples
- 'Teach this Monday' packet: one AI-math breakthrough repackaged as a 20-minute classroom lesson
- Slide deck generator with worked examples, discussion questions, and a homework problem set
- Differentiation levels: AP Calculus, Intro Proofs, Undergraduate Optimization
- Citation-tracing mode showing the original arXiv paper so teachers can dig deeper
Teachers are being asked to talk about AI in math class but lack the time or background to translate a 30-year breakthrough closed by GPT into something a 17-year-old can grasp.
Only ~25% of math teachers reported using AI tools for instructional planning/teaching in 2023-24 per RAND survey; specific demand for AI-research-translation (vs. AI-tool training) is a thinner sub-niche not directly evidenced in educator surveys.RAND - Uneven Adoption of Artificial Intelligence Tools Among U.S. Teachers ↗2024 Educator AI Report - Imagine Learning ↗
Search for 'AI math teaching examples newsletter' returned no direct competitors; however, adjacent AI-in-education newsletters (aiEDU, AI for Education, Teaching Lab, AI Weekly) cover AI-as-tool for teaching and could pivot into this niche.AI for Education - Newsletter Sign Up ↗AI + Education Newsletter - Teaching Lab ↗
Teachers do pay for AP PD (College Board AP Professional Learning, Math Medic subscriptions), but competing AI-ed newsletters are free and teachers are notoriously price-sensitive out-of-pocket; willingness to pay for a narrow weekly brief is unproven.AP Professional Learning Pricing - College Board ↗High School Math Curriculum Subscription - Math Medic ↗
AI math research output is accelerating (Stanford AI Index shows sustained AI specialization growth through 2025-26), so the pipeline of 'breakthroughs worth translating' is durable; however individual stories cycle fast, requiring constant editorial refresh.Education | The 2026 AI Index Report | Stanford HAI ↗
Technically trivial to build on Substack/Beehiiv; the bottleneck is editorial — translating a research milestone into AP/undergrad-ready examples requires combined math + pedagogy + AI literacy, which is scarce and recurring work each week.