Stanford Accelerator for Learning AI + Learning Impact Grants
Stanford University's AI + Learning Impact Grants support rigorous research to scale proven AI-driven educational innovations and advance equity in real-world learning environments.
Funder: Stanford University
Due Dates: October 5, 2026 (Concept note) | November 16, 2026 (Full proposal — invited teams only)
Funding Amounts: Up to $500,000 per award (3 awards total, 18–24 months); $1.5M total funding.
Summary: Supports scaling promising AI-enabled learning innovations to improve educational outcomes, equity, and scientific understanding through rigorous research and interdisciplinary collaboration.
Key Information: Only Stanford PI-eligible faculty may apply; two-stage application process.
Description
The Stanford Accelerator for Learning AI + Learning Impact Grants aim to catalyze transformative, research-backed innovations at the intersection of artificial intelligence and education. The program is designed for projects that have already demonstrated initial feasibility and are ready to move from proof-of-concept to scalable implementation in authentic learning environments. Grants support rigorous evidence generation, the refinement of promising AI-enabled learning solutions, and the advancement of educational equity—particularly for historically underserved communities. Funded teams receive tailored support from the Accelerator Studio, including technical, research, learning science, and partnership consulting, to help overcome challenges and maximize real-world impact.
