2025/12/14 by Jiaqi Wang, Jiaqi, Wang, Lan Yi +3
Engineering · Social Sciences · #Architecture and Computational Design #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Design Education and Practice #Ethics and Social Impacts of AI #FOS: Computer and information sciences
paper · pdf · doi:10.48550/arxiv.2512.13730
openalex publication_date 2025/12/14 · openalex created_date 2025/12/18 · openalex updated_date 2026/07/28
This study investigates AI integration in architectural education through a teaching experiment in Zhejiang University's 2024-25 grade three undergraduate design studio. Adopting a dual-module framework (20-hour AI training + embedded ethics discussions), the course introduced deep learning models, LLMs, AIGC, LoRA, and ComfyUI while maintaining the original curriculum structure, supported by dedicated technical instructors. Findings demonstrate the effectiveness of phased guidance, balanced technical-ethical approaches, and institutional support. The model improved students' digital skills and strategic cognition while addressing AI ethics, providing a replicable approach combining technical and critical learning in design education.