Possibilities and Limitations of Generative AI in the Classroom: UTA Guidelines for Using Generative AI in Instruction to Achieve Student Learning Outcomes (SLOs)
Welcome to the UTA guidelines for the considered use of generative AI (Gen AI) in instruction. This resource is crafted to foster informed decisions about leveraging GenAI in teaching and learning within UTA’s diverse academic landscape. Our aim is to illuminate the spectrum of possibilities—from cautious restraint to enthusiastic adoption—always with a clear eye on how these technologies can serve or, at times, detract from achieving the specific Student Learning Outcomes (SLOs) in your courses.
By embracing a balanced perspective, this document endeavors to support instructors in making judicious choices about when and how to integrate GenAI into their pedagogy, as well as when to exclude it, in favor of methods that better align with their educational objectives. Whether considering a nuanced incorporation of GenAI tools or contemplating a comprehensive application, the guidelines within will help faculty navigate these decisions in alignment with UTA’s standards of academic integrity.
We encourage faculty to consult the Table of Contents to find discussions and recommendations most pertinent to their discipline and teaching goals. It is our hope that this guide will serve as a dynamic resource in their instructional toolkit, enabling them to tailor use of GenAI in ways that are most conducive to fulfilling the SLOs of each course taught at UTA.