Welcome to TRAIIL!

Our mission is to curate a collection of openly licensed, peer-reviewed strategies that utilize generative AI tools to support learning in higher education.

The intention is that any faculty member, specialist, librarian, or other professional may contribute strategies that feature AI-infused learning, as well as adopt or adapt strategies contributed by others for use in their own unique educational contexts.

 

Browse the TRAIIL collection by category:

Don’t miss this opportunity to be a TRAIILblazer at the forefront of teaching with AI!

Want to share your own AI-infused strategy with the world? Please visit the Submission Guidelines page in the Author Corner to get started. Also consider joining the TRAIIL mailing list to be kept in the loop about the annual call for submissions and the latest published entries.

New TRAIIL submissions will undergo a peer-reviewed process. While entries can be submitted year-round, priority will be given during the official Call for Submissions timeframe. The Call for Submissions is now closed!

Authors will be notified October - December 2025 regarding their submissions. Please contact the Editors at TRAIIL@ucf.edu for any questions.

Review Submission Guidelines

Join TRAIIL Mailing List

Volunteer to Be a Peer Reviewer for TRAIIL

Follow

Submissions from 2025

PDF

Creating your Own Learning Path: Lessons from the Physics Classroom, Natalia Romero

PDF

AI-Assisted Literary Analysis in a Flipped Classroom Model: Fostering Critical Engagement, Tizziana Valdivieso and Jules Lemus Gonzalez

PDF

A Structured Approach to AI Use Statements: the T.R.E.A.T. Framework, Laura Yost

PDF

Sharpening Marketing Strategy Through Smart ChatGPT Prompts, Wenkai Zhou

Submissions from 2024

PDF

A Human-in-the-loop Approach: Designing an AI-Assisted Workflow, Abram Anders and Emily Dux Speltz

PDF

AI-Infused Learning: Unlocking Career Potential, Karen Haslett, Danielle M. Pratt, and Amanda Pacheco

PDF

Exploring Business Ideas and Opportunities, Mary Ann Hughes Butts

PDF

Experiencing AI: Learning through Exploration, Nicole Mishnick and Dana Wise