Generative AI Pedagogy Fellows Program is a grant from the University System of Maryland Center for Academic Innovation that funds faculty members from USM campuses to become champions for integrating Generative AI into teaching and learning practices.

Funded by the Maryland Center for Computing Education (MCCE) for the 2025-2026 academic year, this year-long initiative selects one to two fellows from each of the 12 USM campuses, providing a structured curriculum and in-person sessions covering AI use in course design, lesson planning, rubric development, student feedback, and bot building.

Fellows offer workshops on their campuses in the spring semester and collaborate on new research. Eligible applicants are faculty members from University System of Maryland campuses nominated by their provosts.

Generative AI Pedagogy | USM Center for Academic Innovation Center for Academic Innovation Link to Kirwan Center Twitter Account Link to USM Kirwan Center RSS Feed Initiatives : Generative AI Pedagogy Open Educational Resources Generative AI Initiatives Generative AI Pedagogy Fellows Program The Generative AI Pedagogy Fellows Program is a comprehensive year-long initiative launched by the Kirwan Center and funded by the Maryland Center for Computing Education (MCCE) for the 2025-2026 academic year.

This program selected 1-2 faculty members from each of our 12 USM campuses to become champions for integrating Generative AI into teaching and learning practices. Fellows participate in a structured curriculum during September and October, 2025, followed by an in-person session in November to finalize and present workshop plans.

In the spring semester, fellows will offer workshops on their campuses in coordination with their Centers for Teaching and Learning. The program covers essential topics such as utilizing AI in course design, lesson planning, rubric development, student feedback and bot building for teaching and learning. Our 2025-2026 fellows were nominated by their provosts and have tremendous experience using Generative AI in their own classrooms.

We anticipate deep collaboration and new research projects stemming from this fellowship program, in addition to enhanced peer-to-peer workshops for faculy interested in Generative AI in their teaching practices at each of our campuses.

The USM 2025-2026 Generative AI Pedagogy Fellows are: Antonia Charles-Strowbridge, Assistant Professor , Teaching, Learning, and Professional Development, Bowie State University Andrew Mangle, Associate Professor , Management Information Systems, Bowie State University Jeronda Burley, Associate Professor, Social Work, Coppin State University Denyce Watties -Daniels, Associate Professor and Director of Simulation and Learning Resource Centers, College of Health Professions, Coppin State University Kris McGee, Associate Professor, Educational Professions, Frostburg State University Wenjuan Xu, Professor , Computer Science and Information Technologies, Frostburg State University Casey Stratton, Assistant Professor, Communication, Salisbury University Jessica Walter, Associate Professor of Exercise Science, Salisbury University Amanda Jozkowski , Associate Professor and Graduate Program Director, Occupational Therapy & Occupational Science, Towson University Benjamin Zajicek, Associate Professor, History, Towson University William Carter, Associate Professor, Management and International Business, University of Baltimore Rachel Zeleny, Associate Professor and Writing Program Director, English and Integrated Arts , University of Baltimore Scott Riley, Instructor, Pharmaceutical Sciences, University of Maryland, Baltimore Cory Stephens, Assistant Professor, School of Nursing, University of Maryland, Baltimore Yasmine Kotturi , Assistant Professor , Information Systems, University of Maryland, Baltimore County John Schumacher, Professor and Director of Public Health Research Cener, Sociology, Anthropology, and Public Health, University of Maryland, Baltimore County Matt Fitzpatrick, Professor, Appalachian Lab, University of Maryland Center for Environmental Science Zach Zbinden, Assistant Professor, Appalachian Lab, University of Maryland Center for Environmental Science Jacob Coutts, Lecturer, Psychology, University of Maryland, College Park Dane Grossnickle, Lecturer, Institute of Applied Agriculture, University of Maryland, College Park Michael Yao Wodui Serwornoo , Associate Professor, English, Languages and Media Studies, University of Maryland Eastern Shore Victoria Volkis , Professor, Chemistry, University of Maryland Eastern Shore Mary Crowley-Farrell, Collegiate Faculty, Integrated & Professional Studies, University of Maryland Global Campus Rony Thakur, Program Director and Associate Professor, Cybersecurity and Information Technology, University of Maryland Global Campus AI, Unscripted Podcast Limited Series AI, Unscripted is a podcast limited series co-sponsored by the USM Kirwan Center for Academic Innovation, the USM Council of University System Faculty, and MarylandOnline, produced as part of the University of Maryland, Baltimore's Moving the Needle podcast.

The series features converesations with innovative educators from diverse disciplines and insitutions across Maryland who share their journeys from being AI-curious to AI-confident. Each episode provides detailed explanations of classroom implementations, student feedback, and practical strategies that faculty cam implement immediately in their teaching.

Hosted by Mary Crowley-Farrell (UMGC), Michael Mills (Montgomery College), and Jennifer Potter (USM Kirwan Center), the podcast showcases faculty discussing practical applications of AI that deliver tangible improvements to teaching, including time-saving grading approaches, increased student engagement, personalized feedback, simplified creation of case studies, and enhanced critical thinking exercises.

The first episode launches on August 25, with new episodes released bi-weekly through December 15 on Apple Podcasts and Spotify . The series aims to meet faculty where they are in their AI journey, whether just beginning to explore these tools or already building confidence in their application. To learn more about this project, visit the AI, Unscripted Podcast Limited Series page.

Our Work in Generative AI Pedagogy Direct Support to Campuses Since March 2020, the Kirwan Center has been assessing the USM institutions’ needs in order to make a successful pivot to more effective online learning. USM OnTrack is responding to the identified needs generated by the immediate COVID-19 crisis with a variety of direct supports to the campuses.

AI, Unscripted Podcast Limited Series Kirwan Center Names Two Senior Fellows for Generative AI Pedagogy The William E. Kirwan Center for Academic Innovation at the University System of Maryland (USM) welcomes 2025-2026 Senior Fellows focusing on Generative AI pedagogy, Dr. Diane Alonso of University of Maryland, Baltimore County and Dr. Tracy Tomlinson of University of Maryland, College Park.

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