Stanford
Center for Teaching and Learning

AI in Teaching and Learning at Stanford: Course and Curriculum Seed Grants

AI in Teaching and Learning at Stanford: Course and Curriculum Seed Grants provide funds and support to instructors to meaningfully address or integrate AI in Stanford courses and curricula.

To apply and to view the current request for proposals, including eligibility, grantee requirements, and proposal forms, visit the Stanford Seed Funding platform (Stanford login required).

About the Seed Grant Program

AI in Teaching and Learning at Stanford: Course and Curriculum Seed Grants provide funds and support to faculty and lecturers to plan and implement changes to courses and curricula that meaningfully address or integrate AI. Instructors and student collaborators are encouraged to experiment with new teaching methods, learning experiences, disciplinary perspectives, and ways of assessing learning in undergraduate and graduate courses – grounded in both creativity and instructional rigor. The grant program is led by VPUE’s AI Meets Education at Stanford (AIMES) initiative and is part of a joint effort between VPUE and GSE’s Stanford Accelerator for Learning.

The goals of the grant program are to:

  • Support instructors with resources, in the form of expertise, assistance, and staff time
  • Catalyze coordinated approaches to teaching and learning in the age of AI
  • Enhance learning with and without AI in ways that are effective, clear, relevant, and legible for students
  • Advance and share curricular approaches to AI across Stanford schools, departments, and programs

See the AI in Teaching and Learning at Stanford Seed Grants FAQ document (Stanford sign-in required) for the most recent answers to common questions about the program.

Types of grants

There are three types of grants available: planning grants, course implementation grants, and curriculum implementation grants.

In a planning grant, a group of faculty, instructors, and students in a program or department may propose a plan to convene, discuss, and plan addressing curricular aspects of generative AI.

In a course implementation grant, an individual instructor or teaching team within a program or department may propose to make coordinated, substantial changes related to generative AI in a single course.

In a curriculum implementation grant, a group of at least three instructors within a program or department may propose to make coordinated, substantial changes related to generative AI in a cluster of three or more courses.

Funding

Seed grants between $10,000 and $100,000 for planning or implementation of course and curriculum changes that address or integrate AI in Stanford courses:

  • Planning: Up to $10,000 for planning in a department or program
  • Course implementation: Up to $25,000 for implementation in a single course
  • Curriculum implementation: Up to $75,000 for implementation in a group of three courses, or $100,000 for four or more courses

Key dates

  • Proposals due May 15, 2026, 11:59 pm PT
  • Awards announced July 1 to July 6, 2026
  • Grant period from August 1, 2026, to July 31, 2027 (12 months)

Proposals

Proposals may include but are not limited to:

  • Convening groups of instructors and students in departments and programs to discuss and make plans for addressing curricular aspects of generative AI.
  • Redesigning assignments and assessments, in one course or across several sequential courses, to scaffold the development of independent critical thinking and problem-solving skills without, before, or alongside the development of effective use of generative AI.
  • Creating and implementing modules in one or several related courses that introduce and advance AI literacy and inquiry skills appropriate for the discipline, with increasing complexity as students progress.
  • Integrating experiential learning (e.g., projects that engage students in structured and contextual learning and reflection, such as in labs, studios, makerspaces, museums, archives, and community or other field sites) that addresses discipline-specific AI challenges into one or a series of courses.
  • Building shared approaches, tools, and materials to support teaching AI-related topics across courses and contexts, such as AI and ethics or AI in research.
  • Small-scale pilots of an educational technology tool that addresses an AI-related pedagogical challenge or opportunity.

Support

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, as follows, based on project needs and goals:

  • Curriculum and pedagogical design consultations
  • Frameworks and tools to assist with course and curriculum design and planning
  • Evidence-based teaching and learning practices
  • Facilitating curriculum discussions or workshops (e.g., in the department or program)
  • Methods for analyzing and understanding the educational effectiveness of the project
  • Academic technology expertise and consultative support for navigating Stanford technology policy, approval processes, support services, and so on
  • Training for graduate students involved in implementation grants on teaching methods related to generative AI and on analyzing educational effectiveness
  • A learning community cohort for all grant recipients: the community will progress together through a Canvas course called Critical AI Literacy for Instructors over several weeks and meet to follow up on applying content to their projects

To apply and to view the current request for proposals, including eligibility, grantee requirements, and proposal forms, visit the Stanford Seed Funding platform (Stanford login required).

More information

For questions about these seed grants and the proposal process, please contact Kenji Ikemoto, kikemoto@stanford.edu, associate director for Academic Technology, CTL.