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

Share

COinS
 
May 29th, 12:00 PM May 29th, 12:25 PM

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

Accessibility Statement

This item was created or digitized prior to April 24, 2027, or is a reproduction of legacy media created before that date. It is preserved in its original, unmodified state specifically for research, reference, or historical recordkeeping. In accordance with the ADA Title II Final Rule, the University Libraries provides accessible versions of archival materials upon request. To request an accommodation for this item, please submit an accessibility request form.