Turning Academic Dishonesty into Learning Moments: Adapting Integrity Policies for Generative AI
Location
Seminole A
Start Date
28-5-2025 2:15 PM
End Date
28-5-2025 2:40 PM
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.
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.