Consequences vs. Compassion: Turning A.I. abuse into a learning opportunity
Alternative Title
Consequences vs. Compassion: Turning Artificial Intelligence (A.I.) abuse into a learning opportunity
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 E
Start Date
29-5-2025 10:15 AM
End Date
29-5-2025 10:40 AM
Publisher
University of Central Florida Libraries
Keywords:
A.I. misconduct; Academic integrity; Ethical decision-making; Learning opportunities; Student behavior
Subjects
Artificial intelligence--Moral and ethical aspects; Teaching--Moral and ethical aspects; Student ethics; College students--Discipline; Education--Moral and ethical aspects
Description
With cases of A.I. related misconduct on the rise, faculty are increasingly being called upon to make decisions that can lead to serious consequences for students. Does mercy have a place in this process? Where do we draw the line between academic integrity and grace when students engage in A.I. misconduct? In this session we will discuss strategies to turn student A.I. mistakes into learning opportunities with the potential to nudge student behavior into more ethical and productive directions.
Language
eng
Type
Presentation
Rights Statement
All Rights Reserved
Audience
Faculty; Students
Recommended Citation
Blank, Nathan and Ordiway, John, "Consequences vs. Compassion: Turning A.I. abuse into a learning opportunity" (2025). Teaching and Learning with AI Conference Presentations. 35.
https://stars.library.ucf.edu/teachwithai/2025/thursday/35
Consequences vs. Compassion: Turning A.I. abuse into a learning opportunity
Seminole E
With cases of A.I. related misconduct on the rise, faculty are increasingly being called upon to make decisions that can lead to serious consequences for students. Does mercy have a place in this process? Where do we draw the line between academic integrity and grace when students engage in A.I. misconduct? In this session we will discuss strategies to turn student A.I. mistakes into learning opportunities with the potential to nudge student behavior into more ethical and productive directions.