This exploratory study looks at the pedagogical application of generative AI in architectural design studios. While most efforts focus on design automation using image synthesis function, this often reduces designers to passively selecting AI outputs. Instead, this study investigates alternative interactions between designers and AI and analyzes its pedagogical role in studio settings. Several case studies using building typologies demonstrate how generative AI can potentially expand students’ understanding of design concepts. A deep learning tool was used to analyze existing building types and generate new variations, allowing students to engage actively in design exploration. The study evaluates these outcomes, highlighting the dynamics of student-AI interactions and discussing the educational potential and limitations of using AI in design pedagogy.
