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 ϡȱÁÔÆæÍø Center for Computing Education (MCCE) for the 2025-2026 academic year. This program selected 1-2 faculty members from each of our 12 ϡȱÁÔÆæÍø 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 ϡȱÁÔÆæÍø 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 ϡȱÁÔÆæÍø, Baltimore
Cory Stephens, Assistant Professor, School of Nursing, University of ϡȱÁÔÆæÍø, Baltimore
Yasmine Kotturi, Assistant Professor, Information Systems, University of ϡȱÁÔÆæÍø, Baltimore County
John Schumacher, Professor and Director of Public Health Research Cener, Sociology, Anthropology, and Public Health, University of ϡȱÁÔÆæÍø, Baltimore County
Matt Fitzpatrick, Professor, Appalachian Lab, University of ϡȱÁÔÆæÍø Center for Environmental Science
Zach Zbinden, Assistant Professor, Appalachian Lab, University of ϡȱÁÔÆæÍø Center for Environmental Science
Jacob Coutts, Lecturer, Psychology, University of ϡȱÁÔÆæÍø, College Park
Dane Grossnickle, Lecturer, Institute of Applied Agriculture, University of ϡȱÁÔÆæÍø, College Park
Michael Yao Wodui Serwornoo, Associate Professor, English, Languages and Media Studies, University of ϡȱÁÔÆæÍø Eastern Shore
Victoria Volkis, Professor, Chemistry, University of ϡȱÁÔÆæÍø Eastern Shore
Mary Crowley-Farrell, Collegiate Faculty, Integrated & Professional Studies, University of ϡȱÁÔÆæÍø Global Campus
Rony Thakur, Program Director and Associate Professor, Cybersecurity and Information Technology, University of ϡȱÁÔÆæÍø Global Campus
AI, Unscripted Podcast Limited Series
AI, Unscripted is a podcast limited series co-sponsored by the ϡȱÁÔÆæÍø Kirwan Center for Academic Innovation, the ϡȱÁÔÆæÍø Council of University System Faculty, and ϡȱÁÔÆæÍøOnline, produced as part of the University of ϡȱÁÔÆæÍø, Baltimore's podcast. The series features converesations with innovative educators from diverse disciplines and insitutions across ϡȱÁÔÆæÍø 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 (ϡȱÁÔÆæÍø 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 and . 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.
