AI Math Tutoring Evidence

Bridge learning science with cutting-edge LLM research to evaluate what actually works in K-12 instruction, empowering you to shape high-impact, evidence-based math tutoring products. * **Empirical evaluation** of recent K-12 math AI research * **Strategic roadmapping** for evidence-based EdTech product decisions * **Limitation analysis** targeting LLM gaps in mathematical reasoning * **Learning science integration** for effective generative tutoring interventions

5 sections ยท 14 lessons

Course outline

Foundations

  1. Tutoring Science
  2. ITS Legacy
  3. LLM Basics
  4. Foundations

Evidence

  1. Learning Gains
  2. Tutor Copilots
  3. Reading Studies
  4. Evidence

Limits

  1. Math Errors
  2. Answer Giving
  3. Equity Risks
  4. Limits

Design

  1. Socratic Prompting
  2. Feedback Design
  3. Metacognition

Practice

  1. Implementation
  2. Evaluation

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