The Generative AI & Teaching (GAIT) Faculty Fellows program brings together a cohort of faculty to explore, share, develop, implement, and assess innovative applications of generative AI for teaching and learning. 15 faculty fellows will be selected to participate in this year-long program, with each fellow developing and piloting a unique, AI-supported teaching innovation. Fellows will engage in workshops and collaborative sessions during the 2025-2026 academic year, and will receive one-on-one support from a teaching and learning specialist. Each fellow will receive a $3,000 stipend to support their professional development or enhance teaching resources.

The program culminates in the Generative AI and Teaching Colloquium, where fellows will share their projects, foster wider conversations about AI-enhanced education, and inspire further innovation across campus.

Program Goals

This program aims to:

  • Equip faculty with effective generative AI teaching strategies.
  • Enhance student learning outcomes and career readiness.
  • Foster a culture of innovation and collaboration.
  • Position UGA as a leader in AI-enhanced education.
Program Activities

The following meetings will be scheduled based on shared availability among selected GAIT fellows:

  • August Kickoff Event (will be scheduled to take place August 1-12).
  • Monthly cohort meetings (including foundational workshops on effective AI teaching practices and collaborative connections around developing projects).
  • Monthly project check-ins and consultations with assigned CTL consultant.
  • Spring 2026 GAIT Colloquium (date tbd)
Fellowship Benefits:
  • $3,000 stipend for professional development, AI tool licenses, or teaching project support.
  • One-on-one instructional support.
  • Participation in foundational workshops and collaboration sessions.
  • Opportunity to present at the Generative AI and Teaching Colloquium.

Cohort Selection

The program will competitively select 15 full-time faculty members based on the following criteria:

  • Potential Impact on Student Success: How the proposed innovation supports student learning and development
  • Creativity and Innovation: Originality in applying generative AI to teaching
  • Sustainability: Potential for lasting impact beyond the fellowship year
  • Likelihood of Success: Expectation that the project will be successfully implemented in pilot form during the cohort year
  • Alignment with UGA Priorities: Connection to institutional goals and best practices in teaching and learning
Eligibility Criteria

All full-time UGA faculty members (tenure- and non-tenure-track) are eligible to apply. In addition, fellows must be able to commit to:

  • Developing and implementing a teaching innovation involving generative AI.
  • Participating in all program activities, including workshops, consultations, and the culminating colloquium. Participation in the August Kick-off Event and the Spring 2026 Colloquium must be in-person.
Application Timeline
  • March 2025: Call for applications opens.
  • April 21, 2025: Application deadline
  • May 2025: Fellows notified of acceptance.
How to Apply

Apply here by Friday, April 21, 2025.

Applicants should submit a (maximum 3 page) proposal detailing responses to the following prompts:

  • Typical Teaching Context: Describe your typical instructional duties and the types of courses you teach.
  • Experience with AI for Teaching: What experience do you already have using generative AI for teaching and learning?
  • Proposed Innovation: Outline the AI-supported teaching innovation you would like to develop as part of this program. Why is it important and who will it enhance student learning and success?
  • Use of Funds: How will you use your $3000 in funds to support your project?
  • Goals for Participation: What do you hope to gain from participating in the Generative AI & Teaching Facutly Fellows program?
  • Strengths & Contributions: What unique perspectives, experiences, or skills would you bring to the fellowship cohort?

Questions?

Contact Ruth Poproski via [email protected] for more information.

 

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