Alternative Title
Turning Academic Dishonesty into Learning Moments: Adapting Integrity Policies for Generative Artificial Intelligence (GenAI)
Contributor
University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2025 : Orlando, Fla.)
Location
Seminole A
Start Date
28-5-2025 2:15 PM
End Date
28-5-2025 2:40 PM
Publisher
University of Central Florida Libraries
Keywords:
Academic integrity; Generative AI; Plagiarism prevention; Student engagement; Writing pedagogy
Subjects
Cheating (Education)--Prevention; Artificial intelligence--Educational applications; Student ethics; Academic writing--Study and teaching (Higher); Plagiarism--History
Description
Previously, plagiarism cases required proof of source text, but suspected AI use leaves no such evidence. Our college now encourages non-accusatory feedback about suspected AI writing, with rewriting options to avoid formal charges. Drawing on pre-AI plagiarism research, this approach helps students see writing as a tool for learning, fostering intrinsic motivation to avoid improper chatbot use. Takeaways include sample questions for starting conversations with students, and examples of faculty explanations of how writing supports learning. Participants will share their institutional challenges and explore ways to foster authentic student engagement with writing.
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty, Students, Instructional designers
Recommended Citation
Guy, Alfred, "Turning Academic Dishonesty into Learning Moments: Adapting Integrity Policies for Generative AI" (2025). Teaching and Learning with AI Conference Presentations. 28.
https://stars.library.ucf.edu/teachwithai/2025/wednesday/28
Turning Academic Dishonesty into Learning Moments: Adapting Integrity Policies for Generative AI
Seminole A
Previously, plagiarism cases required proof of source text, but suspected AI use leaves no such evidence. Our college now encourages non-accusatory feedback about suspected AI writing, with rewriting options to avoid formal charges. Drawing on pre-AI plagiarism research, this approach helps students see writing as a tool for learning, fostering intrinsic motivation to avoid improper chatbot use. Takeaways include sample questions for starting conversations with students, and examples of faculty explanations of how writing supports learning. Participants will share their institutional challenges and explore ways to foster authentic student engagement with writing.