AI Faculty Mentor Program
About the Program
Across higher education, colleges and universities are increasingly exploring the role of AI faculty mentors as institutions navigate the rapidly evolving landscape of generative artificial intelligence in teaching, research, and faculty work. Structures vary by institution, but they share a common goal: creating collaborative, faculty-centered support systems that help colleagues thoughtfully explore AI's potential and limitations in their professional practice.
Rather than serving as technology "enforcers" or authoritative experts, our AI faculty mentors serve as trusted guides, collaborators, and pedagogical partners who support faculty in making informed, values-aligned decisions surrounding AI use in higher education. CAFE hopes this initiative will help faculty build confidence with AI while recognizing that meaningful AI integration is best supported through shared learning, collaboration, and community.
At APSU, this work aligns naturally with the university's growing commitment to innovation, career readiness, faculty excellence, and student success. APSU's Generative AI Higher Education Initiative, AI Task Force, campus symposiums, faculty workshops, and professional development opportunities all reflect an intentional effort to support thoughtful and responsible AI integration across disciplines. Current institutional conversations emphasize practical application, ethical use, accessibility, transparency, academic integrity, and the importance of maintaining faculty autonomy in decisions surrounding AI implementation.
APSU's emerging approach recognizes that effective AI integration is not one-size-fits-all — the ways faculty may engage AI in areas such as business, health sciences, education, communication, or the arts can and should differ according to disciplinary needs, learning outcomes, and pedagogical values.
AI Faculty Mentors are available to help with:
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Syllabus language and assignment redesign
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Discipline-specific examples and applications
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Conversations related to ethics, accessibility, privacy, academic integrity, and student learning
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AI Faculty Mentors are expected to be familiar enough with institutional policies to guide their colleagues in ways that do not conflict with university policy. As we and other universities continue to experiment with these models, AI faculty mentoring is increasingly being viewed not simply as technology training, but as an extension of broader faculty excellence initiatives centered on innovation, reflection, collaboration, and student success.
Meet Our AI Faculty Mentors
College of Arts & Letters
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Nader Dagher
Brandi Fuglsby
Patrick Gosnell
Darren Michael |
David Rands
Marisa Sikes
Jeffrey Williams |
College of Behavioral and Health Sciences
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Jessica Hatz
Amanda Patrick |
Devin Smith
Jessie Wiser |
College of Business
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Hamid Noghanibehambari |
John Volker |
Eriksson College of Education
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Daniel Bailey
Scott Shumate |
Bing Xiao |
College of STEM
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John Nicholson |
Saeed Samadidana |
Resources
Educause — AI Literacy in Teaching and Learning: A Durable Framework for Higher Education
