Alternative Title
Understanding the Artificial Intelligence (AI) Divide: Comparing Faculty and Student Perceptions of Generative AI (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
29-5-2025 12:00 PM
End Date
29-5-2025 12:25 PM
Publisher
University of Central Florida Libraries
Keywords:
Generative AI; Faculty perceptions; Student attitudes; Academic integrity; Technology in education
Subjects
Artificial intelligence--Study and teaching (Higher); Artificial intelligence--Educational applications; Students--Attitudes--Research; Universities and colleges--Faculty--Attitudes; Artificial intelligence--Moral and ethical aspects
Description
As GenAI reshapes the workforce, a significant disconnect in higher education has been identified. Researchers from the Research Initiative for Teaching Effectiveness at the University of Central Florida surveyed faculty (N=260) and students (N=677) finding that while half of students view AI skills as crucial for their future careers, fewer than one-third of faculty actively teach with AI or encourage its use. Despite differing perspectives on AI integration, both groups share a common concern: the risk of cheating and plagiarism. Our analysis reveals critical insights into the challenges of balancing technological innovation with academic integrity in an AI-driven educational landscape
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty; Students
Recommended Citation
Moskal, Patsy; DeStefano, Christine; and Hackney, Joshua, "Understanding the AI Divide: Comparing Faculty and Student Perceptions of Generative AI" (2025). Teaching and Learning with AI Conference Presentations. 73.
https://stars.library.ucf.edu/teachwithai/2025/thursday/73
Understanding the AI Divide: Comparing Faculty and Student Perceptions of Generative AI
Seminole A
As GenAI reshapes the workforce, a significant disconnect in higher education has been identified. Researchers from the Research Initiative for Teaching Effectiveness at the University of Central Florida surveyed faculty (N=260) and students (N=677) finding that while half of students view AI skills as crucial for their future careers, fewer than one-third of faculty actively teach with AI or encourage its use. Despite differing perspectives on AI integration, both groups share a common concern: the risk of cheating and plagiarism. Our analysis reveals critical insights into the challenges of balancing technological innovation with academic integrity in an AI-driven educational landscape