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AI in Teaching and Learning at Stanford (Course and Curriculum Grants) is sponsored by Stanford University (AI Meets Education at Stanford - AIMES, with support from the Stanford Accelerator for Learning). This seed grant program supports faculty, instructors, academic staff, and students in developing and revising Stanford classes that meaningfully address AI, whether or not students use AI.
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AI in Teaching and Learning at Stanford • Stanford Accelerator for Learning At the behest of President Levin and Provost Martinez, we are pleased to announce that AI Meets Education at Stanford (AIMES) with the support of the Stanford Accelerator for Learning is launching a new university-wide seed grant program, AI in Teaching and Learning at Stanford.
The goal is to bring Stanford’s world-class spirit of innovation, inquiry, and evidence to bear on the use of artificial intelligence in teaching and learning at the college level. The effort seeks to engage faculty, instructors, staff, and students to shape the educational future at Stanford and across the higher education landscape.
The program launches with competitive grant funding possibilities for faculty, instructors, academic staff and students.
There are three streams of funding: Course and curriculum grants to help develop and revise Stanford classes that meaningfully address AI, whether or not students use AI; Innovation with evidence grants to support the development and empirical testing of innovative approaches to AI, teaching, and learning at Stanford; and, Thought leadership funding for intellectual works on critical issues regarding AI and education at Stanford.
See below for links to the associated Requests for Proposals for full information. Proposals are due May 15, 2026. There will be Zoom information sessions on Friday, April 24, 2026, from 12:00 - 1:00 pm, and on Thursday, May 7, 2026, from 2:00 - 3:00 pm.
RSVP here (requires Stanford login) to receive the Zoom link and attend an info session. If you missed the info sessions, use the RSVP link to request a video recording. 1.
Course and Curriculum Grants | Grants up to $100K, available to faculty and lecturers. Led by the Office of the Vice Provost for Undergraduate Education's (VPUE) AIMES initiative, Course and Curriculum grants provide a pool of planning and implementation funds that will support faculty and lecturers in redesigning courses and curricula to meaningfully address or integrate AI.
These grants will enable instructors and student collaborators to experiment with new pedagogies, learning experiences, and ways of assessing learning in undergraduate and graduate courses—grounded in both creativity and instructional rigor. Course-based instructor-student teams will play a critical role in prototyping and testing new approaches.
The Stanford Center for Teaching and Learning (CTL) will provide expertise, coordination, and support for educational design and for understanding student learning and the effectiveness of seed grant projects. 2. Innovation with Evidence Grants | R&D grants up to $50,000, available to faculty, instructors, and students.
Led by the Stanford Accelerator for Learning, this program will serve as a research and development engine to benefit Stanford’s students with the broader goal of providing instances, insights, and evidence for college-level teaching and learning more generally.
Innovation with Evidence grants will fund the development and evaluation of AI-enabled teaching approaches, examining their impact on student outcomes such as learning and effort. Importantly, grantees are required to collect empirical data from the implementation of their innovation.
The Stanford Accelerator for Learning will provide dedicated expertise to support grantees in the science of learning, research design and execution, measurement and data collection, and modest technical support. Innovations may address, but are not limited to, a unit of instruction, section and lab activities, homework, experiential learning, assessment and full courses. 3.
Thought Leadership Grants and Awards | Commissions and prizes up to $3,000, available to faculty, staff, lecturers, and students. Thought Leadership funding is intended to support thought pieces and exchanges regarding pressing issues at the intersection of AI and college-level education. It uses an experimental format for funding that may prove to be highly engaging.
Through publications and cross-sector dialogue, the two tracks —one with a focused theme, the other with an open call —will ideally foster a vibrant, intellectual and interdisciplinary community that brings together faculty, lecturers, students, and staff to engage in thoughtful, forward-looking exchange. Track 1 is open now. Track 2 will open in the fall.
Track 1 — Themed Topics: This spring, Thought Leadership grants solicit proposals for intellectual works that consider the potential impacts of generative AI on the learning and production of critical thinking and creativity. There are strong and varied opinions about the impacts of AI on critical thinking and creativity. It is valuable to bring different ideas in different forms into productive dialog.
We welcome proposals for a broad range of intellectual works including thought pieces, art, demonstrations, videos, software and more. A grant may be thought of as a commission to complete the proposed work. Awardees will be expected to join a forum in fall 2026 to share their work, and ideally, lead to synthesis publications or products that exemplify Stanford’s thought leadership on AI, teaching, and human potential.
Applicants may apply to the critical thinking sub-track or the creativity sub-track or both. Track 2 — Open Topics: In the fall of 2026, the Thought Leadership competition broadens the scope to any pertinent topic at the intersection of AI and education.
For example, topics could include AI in relation to play, authorship, privacy, bias, mental health, surveillance, environmental and human labor impacts, faculty-student and peer-to-peer interactions, debates over educational models and more. Whereas Track 1 provides a commission to complete the work, Track 2 will give awards for completed products submitted through an open call.
Applicants can submit short thought-pieces in the form of their choosing–from high-quality essays, policy briefs, videos or alternative media. The solicitation and sharing of these contributions will help shape not only academic perspectives but also public understanding and institutional decision-making.
Together, these three grants competitions — course and curriculum change , innovation with evidence, and thought leadership — should serve as both a catalyst within Stanford and as a help for the broader higher education field. Which funding opportunity fits me? * 1.
Course and Curriculum 2. Innovation with Evidence 3a. Thought Leadership: Themed 3b.
Thought Leadership: Open Eligible to apply Faculty, instructors; student team members are welcome Faculty, instructors, academic staff, postdocs, students Faculty, instructors, staff, postdocs, students Faculty, instructors, staff, post-docs, students Award amounts Planning grant: up to $10K; Implementation: up to $25K per course; Multi-course projects: up to $100K Up to $50K grants Up to $3,000 commission $2,000 award Type of award Project-based grant Project-based grant Project-based commission Award based on submission Timing Grants awarded in summer 2026 for implementation Aug.
2026 - July 2027 Grants awarded in summer 2026; grant period July 2026–Sept. 2027 Awarded in summer 2026; projects due Oct.
31, 2026 Awards decided fall 2026 Core deliverables Teaching practices implemented at Stanford; shared via convenings and other avenues Instructional innovations and original empirical findings; shared via convenings and publications Shareable communication for a broad Stanford and higher education audience Shareable communication for a broad Stanford and higher education audience *Multiple applications: Applicants may apply to multiple opportunities, but may NOT apply to both opportunity 1 and opportunity 2.
In other words, you may apply to opportunity 1 or 2, and also 3a and/or 3b. AI in Teaching and Learning at Stanford: Thought Leadership Advancing Stanford’s thought leadership in AI and learning, this grant commissions scholarly work in two sub-tracks: AI and critical thinking, and AI and creativity. Projects can create intellectual products of any form ranging from writing to art to software.
AI in Teaching and Learning: 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.
Info Sessions: AI in Teaching and Learning at Stanford Seed Grants Join one of two informational sessions to learn more about the Stanford Accelerator for Learning's two new seed grants, which are part of the AI in Teaching and Learning at Stanford program. Join our email community to get updates delivered right to your inbox. Want to learn more about our newsletter before signing up?
Read past issues here → Stanford, California 94305.
Based on current listing details, eligibility includes: Faculty, instructors, academic staff, and students at Stanford University. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Not specified (seed grant program) Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is May 15, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Improving Undergraduate STEM Education: Education & Human Resources (IUSE: EHR) Program is sponsored by National Science Foundation (NSF). This program promotes novel, creative, and transformative approaches to generating and using new knowledge about STEM teaching and learning to improve STEM education for undergraduate students. It supports projects that bring recent advances in STEM knowledge into undergraduate education, adapt, improve, and incorporate evidence-based practices, and lay the groundwork for institutional improvement in STEM education. Professional development for instructors to ensure adoption of new and effective pedagogical techniques is a potential topic of interest.
The National Leadership Grants for Libraries Program (NLG-L) supports projects that address critical needs of the library and archives fields and have the potential to advance practice and strengthen library and archival services for the American public. Successful proposals will generate results such as new models, tools, research findings, services, practices, and/or alliances that can be widely used, adapted, scaled, or replicated to extend and leverage the benefits of federal investment. Applications to IMLS should both advance knowledge and understanding and ensure that the federal investment made generates benefits to society. Specifically, the goals for this program are to generate projects of far-reaching impact that: • Build the workforce and institutional capacity for managing the national information infrastructure and serving the information and education needs of the public. • Build the capacity of libraries and archives to lead and contribute to efforts that improve community well-being and strengthen civic engagement. • Improve the ability of libraries and archives to provide broad access to and use of information and collections with emphasis on collaboration to avoid duplication and maximize reach. • Strengthen the ability of libraries to provide services to affected communities in the event of an emergency or disaster. • Strengthen the ability of libraries, archives, and museums to work collaboratively for the benefit of the communities they serve. Throughout its work, IMLS places importance on diversity, equity, and inclusion. This may be reflected in an IMLS-funded project in a wide range of ways, including efforts to serve individuals of diverse geographic, cultural, and socioeconomic backgrounds; individuals with disabilities; individuals with limited functional literacy or information skills; individuals having difficulty using a library or museum; and underserved urban and rural communities, including children from families with incomes below the poverty line. Application Process: The application process for the NLG-L program has two phases; applicants must begin by applying for Phase I. For Phase I, all applicants must submit Preliminary Proposals by the September 20th deadline listed for this Notice of Funding Opportunity. For Phase II, only selected applicants will be invited to submit Full Proposals, and only those Invited Full Proposals will be considered for funding. Invited Full Proposals will be due March 20, 2024. Funding Opportunity Number: NLG-LIBRARIES-FY24. Assistance Listing: 45.312. Funding Instrument: G. Category: AR,HU. Award Amount: $50K – $1M per award.