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 24, 2014

The University of Baltimore (UB) is working with Pulitzer-prize winning historian Taylor Branch and the USMCAI to offer the course “Citizenship and Freedom: The Civil Rights Era” in an innovative, online, for-credit format. Unlike MOOCs, this course is based on a seminar format that promises synchronous interactivity. Also unlike MOOCs, this course features a blend of lecture, panels, and real-time Q&A with the virtual audience.

July 24, 2014

In 2013, the USM entered into an agreement with Ithaka S+R (with funding from the Bill and Melinda Gates Foundation) to explore the viability of repurposing MOOCs to be used as part of regular undergraduate programs at degree granting institutions. Given the momentum already established by the USM’s Maryland Course Redesign Initiative, faculty interest in MOOCs was robust. We ended up with 22 trials –many more than the 5-7 originally projected. So, as the highly controversial MOOC model continues to generate much national press –both positive and, more recently, negative– our side-by-side experimental MOOC-augmented courses are currently being tested (2013-14).

July 24, 2014

Curricular transformation/innovation in STEM takes several forms. Among the many courses being redesigned at UMBC, the Departments of Biological Sciences and Mathematics and Statistics have redesigned courses based on the pedagogical model known as Team-Based Learning (TBL). TBL is a specifically structured format that promotes student learning and self-efficacy through frequent readiness quizzes (both individual and team-based) and team projects and applications.

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