About StemGraph

The idea

Physics textbooks contain everything you need. The problem is navigating them alone. There's no map of what depends on what, no way to detect your gaps, and no review schedule to make sure things stick.

The best math learning platform in the world solved this problem for mathematics by building a knowledge graph of every concept and its prerequisites, then layering adaptive sequencing and spaced repetition on top. StemGraph does the same thing for physics.

How it works

A knowledge graph maps every physics concept and its dependencies. Lessons are atomic, covering one skill each. Questions are parameterized, generating fresh numbers every time so you can't memorize answers. Spaced repetition schedules reviews at increasing intervals. All answers are computationally verified.

Further Reading

How Math Academy Works — The system that inspired StemGraph, applied to mathematics. How Math Academy Creates its Knowledge Graph — Justin Skycak on building a dependency graph of mathematical knowledge. Cognitive Science of Learning: Spaced Repetition — The research behind distributed practice and long-term retention. Your Review: Alpha School — Scott Alexander on a school using mastery-based learning to outperform traditional education. Alpha School's Mid-Year Report Card — 2 hours of daily academics, 99th percentile results. Evidence of the Spacing Effect — Peer-reviewed research on spaced repetition and long-term retention.

Questions? Reach out at hello@stem-graph.com.