GenAI in Course Materials: Faculty Use and Perceptions

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Authors: Fawzi BenMessaoud, Ryan Brewer, André C. Buchenot, Kevin Jones, Krista Longtin, Lamia Scherzinger
Cited by: 1

Abstract

As generative artificial intelligence (GenAI) becomes increasingly relevant in higher education, faculty face growing pressure to integrate it ethically and effectively into teaching. While students are already using GenAI and seek faculty guidance, course materials often lack clear policies or instructional support. This study surveyed faculty and analyzed syllabi at a large public Midwestern research university to examine how GenAI is addressed in instruction. Findings reveal that faculty generally view GenAI as a potentially useful learning tool but report limited institutional guidance and inconsistent classroom practices. Despite some departmental efforts to establish GenAI policies, consensus on best practices is lacking. These results underscore the need for clearer institutional frameworks and faculty development to support ethical, pedagogically sound use of GenAI.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education AI in Service Interactions Online Learning and Analytics

Publication details

Journal / source
Journal of Teaching and Learning with Technology
Publisher
IUScholarWorks
Volume
14
Issue
1
Publication date
9 January 2026
Language
EN