12 faculty have been selected for the 2025–2026 Provost’s AI Teaching Fellowship, a program supporting the integration of generative artificial intelligence (GenAI) into university teaching. Led by CTE with support from the Office of the Provost, the initiative focuses on expanding faculty use of GenAI to foster deeper student engagement and more effective learning experiences.

The fellowship is a 12-month program that provides faculty with resources and support to incorporate GenAI into their courses through completion of Auburn University’s online Teaching with AI course, interdisciplinary learning communities, and the implementation of GenAI tools in a Fall 2025 course. Each fellow receives a $2,500 award upon successful completion.

The 2025–2026 AI Teaching Fellows are:

	Emily Ruth Allen Instructor, School of Music Institute for Southern Studies		Shana Harrington Clinical Professor Arnold School of Public Health
	Scott Crittenden Associate Professor McCausland College of Arts and Sciences		Ayse Ozturk Clinical Associate Professor Darla Moore School of Business
	Travis Dalton Instructor Molinaroli College of Engineering and Computing		Jeremy Polley Assistant Professor School of Music
	Jessica Gonzalez Assistant Professor College of Nursing		Jason Porter Instructor College of Information and Communications
	Byeongwon Ha Assistant Professor McCausland College of Arts and Sciences		Farren Stackhouse Clinical Assistant Professor School of Medicine Columbia
	Carolyn Harmon Professor College of Nursing		Nelis Soto-Ramirez Clinical Assistant Professor Arnold School of Public Health

These faculty members represent a range of disciplines and demonstrate the university’s commitment to innovation in teaching through cross-disciplinary collaboration. Their work in the fellowship is expected to generate new approaches to using AI in the classroom to enhance learning across the university.

The fellowship will culminate in the Gen AI Showcase, scheduled for February 2026, where fellows will present their projects and share insights gained from integrating GenAI into their teaching.