The AI Faculty Learning Community (FLC) is designed to support faculty who teach AI courses, as well as faculty who have completed the “Harnessing AI for Teaching and Learning” FLC or the “Teaching with AI in the SEC” FLC and who have implemented new AI-centered practices in their non-AI courses.

Deadline

August 28, 2024

Apply here!

Key Details: 

  • Participation: Limited to 15 faculty members. 
  • Stipends: Participants will receive a stipend for their completion of the FLC requirements. Participants will receive an additional stipend if their work is published, along with funds for publication fees.  
  • Support: Comprehensive support from the inception to completion of their Research in Teaching and Learning (RiTL) projects. 

FLC Requirements 

  • Active participation in at least 12 of the 14 scheduled sessions 
  • Presentation of creative work or an AI-RiTL project at either Interface or the RiTL Symposium 

Objectives 

  • Explore New Approaches: Delve into innovative AI applications in education. 
  • Gain Hands-On Experience: Review current educational research publications and network around quantitative and qualitative studies.
  • Complete a Project: Initiate or advance a RiTL research project. 
  • Identify and Share Best Practices: Discover and share effective AI strategies in higher education. 

Stipends: Participants will be eligible to receive: 

  • A $1,000 stipend upon successful completion of their participation in the FLC.
  • An additional $1,000 stipend on the completion of publishable work.
  • Up to $1,000 to cover publication fees.
  • A $1,000 award for any published work.

Meeting Schedule and Location 

Fall 2024: Tuesdays from 10:45 AM to 12:15 PM | Tigert Hall 302

  • 09/10 – Welcome & Goal Setting 
  • 09/24 – Guest Session 1 
  • 10/08 – Guest Session 2 
  • 10/22 – Ideate Session 
  • 11/05 – Guest Session 3 
  • 11/19 – Deep Feedback Session 
  • 12/11 – Fireside Chat 

Spring 2025: Tuesdays from 10:45 AM to 12:15 PM 

  • 01/14 – Guest Session 1 
  • 01/28 – Ideate Session 
  • 02/11 – Guest Session 2 
  • 02/25 – Deep Feedback Session 
  • 03/11 – Guest Session 3 
  • 03/25 – Guest Session 4 
  • 04/08 – Interface-Proposal-Presentation Prep 

 

Session Format 

Learning Sessions: 

  • Welcome & Speaker Introduction (5 min) 
  • Guest Talk (45 min): 
  • Hands-on Activity (20 min) 
  • Collaboration Time: 

Ideate Sessions: 

  • Welcome (5 min) 
  • AI Show and Tell (20 min) 
  • UF Article Review (20 min) 
  • Formative Feedback (20 min) 

Deep Feedback Sessions: 

  • Rotating Group Feedback (20 min each) 

Deadline

August 28, 2024

Apply here!

Book & Resources

Engaging in the Scholarship of Teaching an2d Learning: A Guide to the Process
We will cover chapters on SoTL research, data collection and analysis, and publishing. 

Featured Articles: 

  • Ng, D. T. K., et al. (2021). Conceptualizing AI Literacy: An Exploratory Review. Computers and Education: Artificial Intelligence, 2, 100041. 
  • Southworth, J., et al. (2023). Developing a Model for AI Across the Curriculum: Transforming the Higher Education Landscape via Innovation in AI Literacy. Computers and Education: Artificial Intelligence, 4, 100127. 

Please note: If you did not complete the Harnessing AI FLC or AI Teaching and Learning Across the SEC FLC during the 2023-2024 academic year, or if you do not yet teach a course with an AI designation consider joining the Fall 2024 Harnessing AI for Teaching and Learning FLC. If you are remote and want to learn more about Research in Teaching and Learning joining the Research in teaching and Learning FLC.