Integrating Artificial Intelligence into Simulation Design: Rebel Recruitment in Azura’s Civil War
By Emily Dunlop and Sabrina Karim, Department of Government, Cornell University
How can instructors harness the creative power of ChatGPT to design dynamic political science simulations? In this JPSE article, we share how we used AI to craft a fictional civil war scenario that helps students explore rebel recruitment and the collective action problem. Blending technology with active learning, the piece shows how large language models can act as creative partners in curriculum design—saving time, sparking innovation, and deepening engagement. This article offers a roadmap for educators eager to bring AI into the classroom in thoughtful, transformative ways.
The Journal of Political Science Education is an intellectually rigorous, path-breaking, agenda-setting journal that publishes the highest quality scholarship on teaching and pedagogical issues in political science. The journal aims to represent the full range of questions, issues and approaches regarding political science education, including teaching-related issues, methods and techniques, learning/teaching activities and devices, educational assessment in political science, graduate education, and curriculum development.