Alternative Title
Academic Integrity in the Age of Artificial Intelligence (AI)
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 (2024 : Orlando, Fla.)
Location
Seminole A
Start Date
23-7-2024 2:45 PM
End Date
23-7-2024 3:15 PM
Publisher
University of Central Florida Libraries
Keywords:
Academic standards; AI-generated content; Ethical guidelines; Educational strategies; Assessment development
Subjects
Artificial intelligence--Moral and ethical aspects; Artificial intelligence--Study and teaching; Cheating (Education)--Prevention; Academic writing; Education, Higher--Moral and ethical aspects
Description
“Academic Integrity in the Age of AI” addresses the emerging challenges in upholding academic standards amidst the proliferation of artificial intelligence tools in educational contexts. This presentation addresses the implications of AI-generated content on academic honesty, presenting a new way to construct assessments compared to traditional content and assessment development. It emphasizes the necessity of developing robust guidelines and educational strategies to guide students and educators in ethically navigating AI resources.
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty, Students, Administrators
Recommended Citation
Schonewille, Matthew, "Academic Integrity in the Age of AI" (2024). Teaching and Learning with AI Conference Presentations. 83.
https://stars.library.ucf.edu/teachwithai/2024/tuesday/83
Academic Integrity in the Age of AI
Seminole A
“Academic Integrity in the Age of AI” addresses the emerging challenges in upholding academic standards amidst the proliferation of artificial intelligence tools in educational contexts. This presentation addresses the implications of AI-generated content on academic honesty, presenting a new way to construct assessments compared to traditional content and assessment development. It emphasizes the necessity of developing robust guidelines and educational strategies to guide students and educators in ethically navigating AI resources.