Initiatives: Generative AI Pedagogy

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.

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

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July 31, 2023

The University System of Maryland (USM) has received a two-year planning grant from the Institute of Museum and Library Services (IMLS), a federal agency charged with advancing, supporting, and empowering America’s museums, libraries, and related organizations through grantmaking, research, and policy development.

July 25, 2023

The William E. Kirwan Center for Academic Innovation at the University System of Maryland (USM) welcomes Dr. Kelly Elkins of Towson University as a Senior Fellow, to lead system support of the scholarship of teaching and learning (SoTL). This will include working with an inaugural cohort of faculty selected as 2023-24 Elkins SoTL Fellows from across five USM institutions.SoTL focuses on systematic investigation of student learning, instruction, and teaching innovations. Findings from SoTL research studies can help inform educators as they decide which instructional methods to use with students and as they design courses, helping to improve student performance and contributing to the knowledge base related to effective educational practices.

July 19, 2023

The Maryland Open Source Textbook (M.O.S.T.) initiative is pleased to announce the awardees of the 2023 OER Grant Programs: 2023 Faculty OER Mini-Grants and 2023 Institutional OER Grants.

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