Teaching & Learning with AI
The Faculty Center for Teaching and Learning, the Division of Digital Learning, and the UCF Libraries at the University of Central Florida have partnered to present the annual Teaching and Learning with AI conference.
Join others from around the country and world to share best practices and uses of artificial intelligence on teaching and learning in colleges and universities.
WHO IS THE TEACHING AND LEARNING WITH AI CONFERENCE FOR?
Teaching and Learning with AI is designed for higher education professionals, researchers, and policymakers who are interested in exploring the potential of AI in higher ed classrooms. If you want to learn more about how you can leverage AI to improve learning outcomes, research, services, and operations, then this is a must attend event.
This conference is for faculty, staff who support faculty, librarians, and administrators who are on the front lines of teaching.
There are different ways to leverage the power of AI through generated text, images, and products.
And if you work with students, it’s important to understand and discuss how to use these tools to shape the future of teaching and learning across college campuses.
This conference will have a diverse group of experts and thought leaders who will share their insights, ideas, and experiences with using AI in their courses and beyond.
PRESENTERS
If you are a presenter, please see the Connect section on the left-hand side for additional guidelines on how to submit, as well as the submit button to submit your presentation file(s).
CONFERENCE BOOKS
Whether or not you attended the conference in person, below are the digital copies of the book given away at the conference each year.
ARCHIVED CONFERENCE REPOSITORY PAGE
Submissions from 2026
From AI Policy to Assessment Design: Review of Higher Education Course Syllabi Using the AI Assessment Scale, Hulya Avci
Teaching Students to Prompt AI for Understanding: Evidence-Based Strategies from a Calculus Course, Jared Campbell and Joo Young Park Ph.D
Making AI Accessible: Concrete Strategies for Teaching Undergraduates in the Academic Library, Gretchen Dreimiller, Emily Morgan, and Calinda Strayhorn
Tools as the Lens: An AI-Resistant Case Critique System that Builds Strategic Thinking, Francesca A. Dunlevy and Michael Houston
Hypothesis: AI Changes Everything—Findings from the ELITE Lab, Shara W. Gonzalez
Designing Equity with AI: Scaffolding, Offloading, and Translation for Students with Learning and Attention Differences, Oksana Hagerty
Accessible by Design: Leveraging AI for Inclusive Education, Lauren S. Kehoe and Rebecca Weber
AI Hallucinations, Academic Integrity, and Learning-Centered Design, Robert K. Mott and Mary Myers
Beyond Detection: How Oral Assessment Diagnoses Your Teaching, Not Just Their Cheating, Brandon Nash
The State of Copyright and AI: 2026 Updates, Sarah A. Norris
Avoiding Libel (and Possible Defamation Consequences) in the Age of AI Detection: Lesson from Journalism for Higher Education, Thomas A. Pear
The Regional AI Ecosystem: Faculty Fellows, eLearning Execution, and Community Partnerships Powering Workforce-Aligned AI, Christopher Prokes
Fluency ≠ Literacy: Practical Strategies to Scaffold, Not Offload, Rachel Rupprecht, Heidi Keller, and Vanessa Hörmann
If You Can’t Beat ’Em, Join ’Em: Best Practices for Responsibly Integrating AI into the Classroom, Colleen Skinner
Responsible Use of Generative AI in Peer Review: Where Do We Draw the Line, Marti Snyder
Generative AI Prompt Engineering as a Tool for Multilingual Learner Writing and Teacher Planning in the K-12 Classroom, Angely C. Suarez DeJesus