AI in Teaching Faculty Fellows Program

2026-2027 AI in Teaching fellows and program facilitators, pictured left to right: Sally Wu, Liz Izhikevich, Heather Dallas, Emma Cuenca, Eli Edwards, and Kem Saichaie

2025-2026 AI Fellows
Emma Cuenca
UCLA Nursing
Heather Dallas
Mathematics
Eli Edwards
UCLA School of Law
Liz Izhikevich
Electrical Engineering

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.Â