Abstract
This paper introduces a novel design development process tailored for industrial design education, integrating artificial intelligence (AI) tools to enhance learning and innovation. Building upon the traditional double diamond model, the proposed framework incorporates evaluation and validation points to ensure alignment with user and market needs while embracing a continuous, blended approach inspired by the Ying and Yang philosophy. The process emphasizes dynamic engagement across all design phases, allowing students to simultaneously explore the broader context of their projects while focusing on specific stages of development. By embedding AI tools such as data analysis, generative design, predictive modeling, and iterative validation, this framework equips students with the skills needed to address complex design challenges. These tools enable real-time insights, foster creativity, and streamline workflows, ensuring that students’ designs are both user-centered and market-relevant. Furthermore, the integration of AI promotes a deeper understanding of how human learning and machine learning can complement each other in solving real-world problems. This approach not only prepares students for professional practice but also demonstrates the transformative potential of AI in shaping the future of design education and innovation. By merging human creativity with machine intelligence, this framework offers a forward-thinking methodology for educators and practitioners alike.
Presenters
Jinseup Ted ShinProfessor / Chair, Industrial Design Department, Metropolitan State University of Denver, Colorado, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
INDUSTRIAL DESIGN, DESIGN EDUCATION, DESIGN PROCESS
