Stanford Accelerator for Learning AI + Learning Impact Grants
Internal — Stanford University only
Stanford University's AI + Learning Impact Grants support scaling and rigorous research of proven AI-driven educational innovations for real-world impact and equity.
Funder: Stanford University
Due Dates: October 5, 2026 (Concept Note Due) | November 16, 2026 (Full Proposal Due)
Funding Amounts: $1.5M total; up to $500,000 per award; 3 awards; 18–24 months/project
Summary: Supports scaling and rigorous evidence generation for AI-driven educational innovations ready for real-world implementation.
Description
Stanford University's AI + Learning Impact Grants, administered by the Stanford Accelerator for Learning, are designed to advance the implementation of promising AI-enabled learning innovations that have already demonstrated proof-of-concept. The program seeks projects positioned to move toward broader, scalable impact in authentic learning environments, with an emphasis on rigorous research, technical robustness, and equitable access for historically underserved communities. Interdisciplinary approaches are encouraged, and recipients benefit from tailored support through the Accelerator Studio, which offers consulting in technology, research, learning science, and partnership development.
