by Nicole Stahl, Aimee deNoyelles, Sarah Norris
Explore AI-infused strategies for higher education in the TRAIIL repository, featuring peer-reviewed contributions and innovative teaching methods.
Abstract
The Teaching Repository for AI-Infused Learning (TRAIIL) is a collection of peer-reviewed strategies that utilize generative AI tools to support learning in higher education. This proceeding shares how individuals can be a part of the repository, such as a future author and/or peer reviewer, and how to access the latest publications to the repository. Implications for online faculty development will be shared.
About TRAIIL: The Teaching Repository for AI-Infused Learning
The Teaching Repository for AI-Infused Learning (TRAIIL) is an openly licensed, peer-reviewed collection of strategies that utilizes generative AI tools. Any faculty member, instructional designer, AI 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 unique educational contexts.
Hosted on the University of Central Florida’s STARS library, TRAIIL was founded in 2024 by members from UCF within the Center for Distributed Learning, UCF Libraries, and Faculty Center for Teaching and Learning. From its inception, a yearly call for submissions is announced in the summer/fall, then new entries that have been accepted into the collection are announced in the spring. An Editorial Board made up of members from both UCF and outside institutions helps support and guide this initiative to further expand its outreach in the higher ed community.
For those interested in submitting to the repository, the Guide for Authors and Submission Guidelines are available for review.
Guide for Authors
The Guide for Authors page provides additional context on who can submit, what to submit, when to submit, how to submit, the use of AI, accessibility, rights and permissions, removing or modifying an entry, and peer review and Editorial Board decisions.
It should be noted that TRAIIL asks authors to indicate whether AI was used in the creation of the entry, not as a negative, but more transparently to understand what and how AI was used. As policies around AI continue to adapt and change over time, TRAIIL policies will update as well.
Accessibility is an important consideration for TRAIIL. All submissions and supporting artifacts must be made accessible for this collection. Helpful accessibility guidelines are provided.
Submission Guidelines
The Submission Guidelines page provides additional context on creating an account before submitting, what information is required for the submission, a submission template, and details on uploading an entry and artifacts.
Each entry calls for general information about the author(s), as well as additional context for the submitted strategy. While a strategy may be applicable across disciplines, the strategy can focus on a specific discipline or example for context, then explain later in the entry how it can be utilized elsewhere or in other ways.
Strategy Types
Strategies are organized into four categories:
- Ideation and Structuring: for brainstorming, creating structures, and generating ideas for improving work
- Editing: to make improvements to the clarity or quality of student-created work to improve the final output
- Task Execution with Human Oversight: to complete certain elements of the task, with students providing discussion or commentary on the AI-generated content
- Full Integration and Automation: AI is used throughout the task to create or automate the work
Whether or not someone has submitted to TRAIIL before, the editors welcome volunteers to serve as peer reviewers. One of the questions asked is to indicate which (or more than one) of these categories you would feel strongest in reviewing to help strengthen the review process.
Published Submissions
When an entry has been accepted and published on the website, it can be accessed directly on the main page. You can also browse the collection by category. When viewing an entry, the requested details about the author(s) and strategy are listed first, with a download button in the upper-right-hand corner to view the submitted entry document that has more detailed information about the strategy. Any supporting artifacts provided are available to download at the very bottom of the entry. One of the benefits of this collection within the STARS system is the capability to search by authors and discipline in the upper-left-hand search bar. Additionally, authors can see how often their entries have been viewed and downloaded over time.
Become a TRAIILblazer!
A new objective for online faculty development is to prepare teachers to utilize generative AI in instruction. TRAIIL provides ready-to-implement, peer-reviewed strategies that faculty can use or adapt in their online classes, removing barriers to entry for those new to AI or online teaching in general. It can also help keep the trainer up to date on practical uses of AI and the considerations of strategies. With types ranging from basic ideation to full automation, educators can gradually integrate AI into their teaching.
As AI continues to rapidly advance, this collection serves to promote and share the great work that is conducted every day within higher education. For those who are new to AI or for those who are experts, the goal is to provide a collection that helps house ideas and strategies that anyone can use without having to start from ground zero. The TRAIIL editors hope you will visit our website and become a TRAIILblazer!
References
TRAIIL. (2024). Teaching Repository for AI-Infused Learning. UCF STARS. https://stars.library.ucf.edu/traiil/
Authors
Nicole Stahl, Project Coordinator II, TRAIIL Managing Editor, Center for Distributed Learning, University of Central Florida
Aimee deNoyelles, Senior Instructional Designer, Center for Distributed Learning, University of Central Florida
Sarah Norris, Librarian, UCF Libraries, University of Central Florida