259: Ai-Driven Pedagogies In Architecture: A Framework For Early-Stage Design Education

This exploratory study investigates the role of 2D generative Artificial Intelligence (GenAI) applied during early design-stages in architectural education settings. Grounded in Donald Schön’s (1983) reflective practice and adopting a Design-Based Research (DBR) methodology, it presents frameworks where AI functions as a conversational design partner. Three exploratory phases are presented: (1) a theoretical stage—aimed at building familiarity with tools and refining processes; (2) a test stage— a workshop testing the pipeline; and (3) a design studio, employing a structured AI matrix, to explore the concept of parameter-based prompt blending across multimodal platforms. Initial findings indicate that GenAl enhances conceptual stages when anchored in clear design intentions. Moreover, the recent emergence of multi-model AI ecosystems enabled cyclical and layered workflows through Human-AI dialogues producing outputs that transcend generic architectural representation. Furthermore, these systems also foster new forms of pedagogical dialogue between educators and students within the academic environment.