Shaping Pedagogy for the AI Generation: Active Learning Techniques and Theoretical Foundations for Public Service Education

As AI becomes increasingly prevalent in our society, public affairs programs must consider how to integrate this tool into its pedagogy. This research examines how one class across two different universities taught about generative AI in public service while leveraging the use of the tool in the curriculum. The course was designed to promote active learning while avoiding emerging AI threats of cognitive off-loading or reduced critical thinking. The data from MPA students ( n = 22) indicates that a peer-oriented, reflective learning environment invites student learning around ethical AI use, applications for AI, and AI skill development. Students also demonstrated some resistance to the active-learning requirements even though students could identify areas of high growth. The integration of AI in public affairs programs, whether as a singular course or within topic-specific contexts, should aim for a high-level of active learning within a peer-based model.