Artificial intelligence (AI) promises to transform urban planning research, practice, and education, yet few curricula address “Urban AI.” This paper presents the pedagogical design of a pilot Urban AI course and argues for three meta learning goals: applying AI effectively and appropriately in urban challenges, addressing its social, environmental, and governance impacts, and developing normative judgments and professional identities around AI. Pilot teaching produced a knowledge graph connecting essential skills to these goals and a critical framework for AI use and reflection, grounded in analysis of 235 student reflection journals, alongside course evaluations, syllabus materials, and student projects.
Xiaofan Liang (Thu,) studied this question.