Strategic Applications of Generative AI in Design Education

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Authors: Yu-Min Fang
Cited by: 2
References: 4

Abstract

A strategic approach to integrating generative AI (GAI) into design education is explored in this article to enhance students’ creativity, critical thinking, and practical skills. Based on a cross-departmental initiative at National United University, Taiwan, a multi-level curriculum is proposed, combining foundational to applied courses. A five-phase design process, problem definition, attribute framing, keyword extraction, AI generation, and refinement, was used to guide student learning tools, including ChatGPT (powered by GPT-4o), Stable Diffusion XL (SDXL) 1.0, and Leonardo.ai (Phoenix model), supporting rapid ideation and decision-making. Case studies in industrial and architectural design demonstrate practical applications. Ethical issues are reviewed. The results show increased engagement, idea diversity, and faster iteration in student design work.

Fields of Study & Subjects

Design Education and Practice Persona Design and Applications AI in Service Interactions

Publication details

Journal / source
8th International Conference on Knowledge Innovation and Invention
Publisher
MDPI
Pages
56–56
Publication date
6 February 2026
Language
EN