Our Teaching Resource Index provides an overview of all TLC teaching and learning resources. Browse the Index.

Home / AI in Teaching Faculty Fellows Program

AI in Teaching Faculty Fellows Program

Note: the deadline for the AI in Teaching Faculty Fellows Program was June 26.

The AI in Teaching Faculty Fellows Program is a year-long, cohort-based initiative that embeds faculty experts within the Teaching and Learning Center (TLC) to advance a campus-wide understanding of the impact and best practices for implementing AI tools. Fellows will partner with TLC staff to co-create student-facing content and discipline-specific instructional resources that ensure all members of the learning community operate from a shared foundational understanding of how to use AI tools critically, ethically, and safely.

They will also facilitate dialogue with peers around specific disciplinary teaching challenges as well as contribute to communities of practice to share their perspectives. Fellows will support efforts to sustain, adapt, and scale the TLC’s generative AI resources and programming beyond the fellowship year to strengthen its long-term capacity to support instructors and engage campus partners. 

Program Details

Fellows commit to the following during the 12-month program:

  • Participating in the cohort’s kickoff meeting to be scheduled in late September or early October 2026.
  • Participating in quarterly cohort meetings and individual check-ins (1-2 hours per month)
  • Consulting on the development of educational development programs and teaching resources, including a student-facing module on AI literacy.
  • Developing and facilitating a discipline-based project around AI in teaching, with support from TLC staff and educational innovation grants.
  • Guest speaking or presenting at AI-focused department, school, or division level events and TLC programs, such as the Faculty Learning Community (FLC), Community of Practice, or Symposium.
  • Authoring an AI “commentary” (500-800 words) that discusses the impact and reflects on AI in their teaching and/or their respective fields.
  • Completing a Fellows Experience Survey.

Recognition

Faculty Fellows each will receive $1,500 to support participation in the year-long program, payable to a research fund or professional development fund. During the Teaching Symposium, Faculty Fellows will receive a certificate of completion for inclusion in their professional dossier. 

Eligibility

The AI in Teaching Faculty Fellows program is open to all instructors of record. We welcome applications from all areas of the undergraduate, graduate, and professional curriculum. 

Priority will be given to instructors in a position to sustain and deepen TLC’s commitment in advancing AI-informed teaching and learning. This may include, but is not limited to, thoughtfully integrating AI literacy in curriculum, fostering departmental or disciplinary collaborations around AI in teaching, pedagogical scholarship on AI, and institutional efforts fostering discourse, exploration, and integration of AI. Instructors are asked to think creatively about how they could contribute to existing or future efforts to sustain, adapt, and scale generative AI resources and programming beyond the fellowship year that will support instructors and engage campus partners. 

Application and Timeline

Applications for the AI in Teaching Faculty Fellows Program are due June 26. Fellows will be announced in early August. Contact help@teaching.ucla.edu with any questions. 

Receive the latest news

Get TLC Updates

The TLC offers monthly and quarterly updates highlighting events, resources, and other opportunities to foster teaching excellence on campus. Sign up to receive communications.