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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June 26, 2020

Balancing Student Privacy and Accessibility | Kirwan Center for Academic InnovationProvides guidance on best practices for balancing student privacy and accessibility in an online environment.

Online Equity Initiative | Peralta Collegeshttps://web.peralta.edu/de/equity-initiative/

Includes an equity rubric and online equity training (Canvas Commons) to help faculty address learning equity in their online courses. The training outlines each criterion, provides examples of what the equity criteria looks like in an online course, and offers guidance to faculty in each area.

June 26, 2020

Faculty, instructional designers, and teaching and learning center staff are invited to Adaptive Tools for High-enrollment Online Courses: Improving the COVID-19 Learning Experience for Students and Faculty, hosted by the USM Kirwan Center for Academic Innovation and the Association of Public and Land-grant Universities (APLU). This day-long summit will introduce participants to the ins and outs of adaptive courseware.

May 15, 2020

In collaboration with the Greater Washington Partnership, the William E. Kirwan Center for Academic Innovation partnered with seven USM institutions in a systemwide project aimed at addressing the region’s digital technology workforce needs.

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