Research and innovation grants

AI in Teaching and Learning at Stanford: Innovation with Evidence Grants

The Stanford Accelerator for Learning invites proposals to design and study innovative AI approaches in teaching and learning at Stanford, while building evidence to inform practice beyond Stanford.

Photo: Andrew Brodhead

Overview

The Stanford Accelerator for Learning invites proposals to design and study innovative approaches to the application of artificial intelligence in teaching and learning at Stanford. The goal is to support new approaches at Stanford while building evidence to inform practice beyond Stanford.

In the rapidly evolving landscape of Generative AI in education, there remains limited evidence on how teaching and learning can be enhanced with creative applications of AI. This seed grant program leverages Stanford’s strengths in human-centered AI, integrating innovation with evidence, an entrepreneurial spirit, and interdisciplinary work. 

We invite faculty, instructors, academic staff, and students from across Stanford University to submit proposals. Proposals may address any higher education teaching and learning context at Stanford and do not need to span an entire course. For example, they may focus on a curricular unit, activity, assignment, assessment, as well as curated experiential learning. Proposals should include:

  • A design component: Development or adaptation of an innovative teaching or learning approach or tool that incorporates AI.
  • A research component: Study of the approach’s impact on student outcomes relevant to learning.

Strong proposals will expand what is possible for student learning.  They will also include a specific hypothesis about the impact the innovation will have on students.  A rough outline of a research plan is welcome, recognizing that the Stanford Accelerator for Learning will provide relevant consulting expertise to support grantees in developing measures and research designs for their innovations.

 

SELECTION CRITERIA

Proposals will be reviewed based on:

  • Potential for broad and meaningful impact on learners and/or education
  • Novelty and innovation of the approach, method, or design
  • Clarity of the research plan or hypothesis for the impact on learning
  • Inclusion of students in the design and evaluation process
  • Team expertise and capacity to successfully complete the project
  • A consideration of ethical risks and mitigation strategies if appropriate

 

MORE INFORMATION

Optional information sessions will overview the grant program and answer applicant questions.  Info sessions will be held via Zoom on the following dates:

  • Friday, April 24, 12:00pm – 1:00pm PT
  • Thursday, May 7, 2:00pm – 3:00pm PT

RSVP here (requires Stanford login) to receive the Zoom link and attend an info session.

Application
Apply by May 15, 2026

ELIGIBILITY & AWARD AMOUNTS

Faculty Seed Grants

Up to $50,000. This level of funding is open to Stanford PI-eligible faculty and may or may not include a collaboration.

Faculty selected to receive funds will be enrolled as Faculty Affiliates with the Stanford Accelerator for Learning, opening the doors to additional engagement opportunities and resources. To support faculty with aspects of technology development and/or human subjects research, the Accelerator Studio will reach out to grantees to determine the best ways to help advance the work.

Lecturer/Academic Staff Seed Grants 

Up to $10,000. Full-time academic staff, including lecturers, may apply for funding if they receive approval from their supervisor. To support academic staff with aspects of technology development and/or human subjects research, the Accelerator Studio will reach out to grantees to determine the best ways to help advance the work.

Student and Postdoc Grants

Up to $5,000. Postdocs, students, or teams may apply. Post-docs will need approval from their faculty supervisors. Student and postdoc grants are intended to support student-driven innovation in teaching and learning at Stanford, leveraging students’ unique perspectives as both learners and designers of emerging educational practices in an AI-enabled world.

TIMELINE

Key dates:

  • Proposals Due: May 15, 2026, 11:59 pm PT
  • Awards Announced: Early July 2026
  • Grant Period: July 15, 2026 – September 15, 2027 (14 months)

Apply by May 15, 2026


ELIGIBILITY & AWARD AMOUNTS

Faculty Seed Grants

Up to $50,000. This level of funding is open to Stanford PI-eligible faculty and may or may not include a collaboration.

Faculty selected to receive funds will be enrolled as Faculty Affiliates with the Stanford Accelerator for Learning, opening the doors to additional engagement opportunities and resources. To support faculty with aspects of technology development and/or human subjects research, the Accelerator Studio will reach out to grantees to determine the best ways to help advance the work.

Lecturer/Academic Staff Seed Grants 

Up to $10,000. Full-time academic staff, including lecturers, may apply for funding if they receive approval from their supervisor. To support academic staff with aspects of technology development and/or human subjects research, the Accelerator Studio will reach out to grantees to determine the best ways to help advance the work.

Student and Postdoc Grants

Up to $5,000. Postdocs, students, or teams may apply. Post-docs will need approval from their faculty supervisors. Student and postdoc grants are intended to support student-driven innovation in teaching and learning at Stanford, leveraging students’ unique perspectives as both learners and designers of emerging educational practices in an AI-enabled world.

TIMELINE

Key dates:

  • Proposals Due: May 15, 2026, 11:59 pm PT
  • Awards Announced: Early July 2026
  • Grant Period: July 15, 2026 – September 15, 2027 (14 months)

REQUIREMENTS

  • Collection of learning data about your teaching and learning innovation
  • Participation in 3-4 seed grant recipient meetings and a final convening.
  • A short interim report and a final report, ideally leading to a publication.
  • All projects will involve human subjects research. Approval from the Institutional Review Board (IRB) and the Stanford Data Oversight Committee (SDOC) for research with Stanford students will be required prior to the start of the grant. We are developing a template that will help streamline these processes for most projects.  

PROPOSAL FORMAL

  • Max 4 page proposal narrative + additional budget template
  • Proposal narrative: Single-spaced, 11-point font, 1-inch margins, PDF format

Please note that the PDF proposal narrative (and only the PDF proposal narrative) will be shared with the grant reviewers. Ensure that your project title and roles/contributions are included in your narrative.