Title - Alternative

A Structured Approach to Artificial Intelligence Use Statements: the T.R.E.A.T. Framework

Date Created

12-11-2025

Institution Type

Doctorate-granting university

Course Level

Undergraduate

Modality of Lesson

In-Person

Category

Ideation and Structuring

Primary AI Tool Used

Any mainstream chatbot (ChatGPT, Claude, Gemini, Copilot)

Learning Objectives

Readers will be able to: list T.R.E.A.T. framework components; explain how T.R.E.A.T. components clarify AI course use; draft syllabi policies using T.R.E.A.T.'s reflective questions; assess how T.R.E.A.T. improves transparency and communication on behalf of learners.

Strategy Description

The T.R.E.A.T. framework gives faculty a customizable approach to writing comprehensive and actionable AI use syllabi policies that support student success by providing learners with transparency and clear communication.

Publisher

University of Central Florida Libraries

Keywords

AI use; AI policies; Syllabi; Syllabi policies; AI use policies; AI syllabi statements

Subjects

Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching (Higher); Computer-assisted instruction--Planning; Computer-assisted instruction--Curricula--Planning; Computer-assisted instruction--Management

Type

Text; Document

Audience

Faculty; Educators; Librarians; Administrators

Comments

To provide a visual component to the discussion, a Canva template was used to create the infographic, and the icons included in that element came from Flaticon.com.

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

T.R.E.A.T. Framework.jpg (220 kB)
The TREAT framework's guiding questions for AI policy design.

T.R.E.A.T. Framework.png (303 kB)
The TREAT framework's guiding questions for AI policy design.

Share

COinS