Cultivating reflective designers: process-oriented pedagogies for harnessing AI’s creative unpredictability in architectural studios

Abstract

This study examines how AI image generation tools influence design thinking, creativity, and self-reflection in architectural education. Using a 15-week integrated studio with fourth-year undergraduates, it analyzes AI engagement and cognitive shifts across conceptual, developmental, and detailed design stages through mixed methods, including Creativity Support Index (CSI) analysis and comparisons between student self-assessments and tutor evaluations. The studio adopted a process-oriented pedagogy emphasizing iterative feedback, stage-based design logs, and a collaborative whiteboard platform. Leveraging AI’s capacity for low-cost failure–rapid, low-risk experimentation with multiple alternatives–it accelerated experimental loops and reinforced the cycle of outcome–interpretation–problem redefinition. AI fostered divergent idea generation, nonlinear thinking, and externalization of concepts while challenging conventional typologies of program, form, and materiality. A key pedagogical aim was to channel AI’s unpredictability into productive learning opportunities. Over time, students shifted from perceiving AI as uncontrollable to engaging with it as a design partner requiring interpretation and adaptation. Findings suggest that AI integration under this framework enhanced self-reflection, critical thinking, and creative decision-making. The study repositions AI from a mere visualization tool to a cognitive catalyst that broadens design thinking and supports co-discovery, proposing strategies for cultivating reflective designers in AI-integrated studios.