Free Webinar: What Faculty Are Telling Us About AI in Higher Education
From the National Center for Faculty Development & Diversity
Faculty are already redesigning assessments, navigating new workload demands, and making consequential decisions about how AI belongs in teaching and scholarship. What can institutions learn from their experience?
Join the National Center for Faculty Development & Diversity (NCFDD) for an evidence-led panel discussion examining what faculty perspectives reveal about AI’s impact on student learning, faculty work, and institutional decision-making.
Faculty are adapting. Institutional support is still catching up.
Conversations about AI in higher education often begin with academic integrity. For faculty, however, the implications extend much further.
Instructors are reconsidering what students should learn, how expertise should be demonstrated, and where human judgment remains essential. They are also revising assessments, responding to changing expectations, and absorbing new work as AI tools continue to evolve.
Drawing on NCFDD’s survey of 1,659 faculty members and academic administrators, this panel will explore what those experiences mean for faculty and for the institutions working to support them.
What the Data Reveals
- 86.9% of respondents have changed at least one assessment practice.
- 64.9% describe AI as one more burden on an already full plate.
- 6.6% say AI-related expectations are consistent across their institution.
Source: NCFDD, Faculty Perspectives on AI Survey Report (pdf), 2026. Item response bases vary.
What We’ll Explore
During this discussion, panelists will examine:
- How AI is changing what faculty assess and how they make student learning visible
- Where AI is reducing workload and where it is creating additional demands
- Why confidence using AI can coexist with serious concerns about learning, ethics, and scholarly judgment
- How disciplinary differences shape faculty experiences and responses
- What faculty-centered institutional guidance, professional development, and governance can look like
Why This Conversation Matters
Faculty are already making decisions about AI at the course and department levels. Yet many are doing so without consistent expectations, adequate time, or sustained opportunities to learn with colleagues.
A durable institutional response will require more than encouraging adoption or issuing a single policy. It will require shared principles, room for disciplinary judgment, meaningful faculty participation, and support that evolves as the technology changes.
This webinar will give participants a clearer understanding of what faculty are experiencing and a practical framework for continuing the conversation on their campuses.
Facilitator:
Lisa Hanasono, PhD, is a professor in the School of Media and Communication and an affiliated faculty member of the American Culture Studies Program and Women’s, Gender and Sexuality Studies Program at Bowling Green State University (BGSU).
Panelists:
José Antonio Bowen, PhD, has authored over 100 articles and several acclaimed books on pedagogy, including Teaching Naked and his latest co-authored guide, Teaching with AI: A Practical Guide to a New Era of Human Learning (2024).
Geetanjali Datta, MPH, ScD, is the Founder and Principal Researcher at Sagebrook Research and previously an Associate Professor of Biomedical Sciences at Cedars-Sinai Medical Center.
Marlene Shaw-Gallagher, MS, PA-C, is an Associate Professor and Lead Clinical Coordinator in the Physician Assistant Program at the University of Detroit Mercy.