Practical Paths and Optimization Strategies for AIGC — Empowering Industrial Design Education
Journal: Journal of Higher Education Research DOI: 10.32629/jher.v6i3.4111
Abstract
With the rapid development of artificial intelligence technology, AIGC demonstrates significant application potential in the field of industrial design. This article focuses on the impact of AIGC on industrial design education, analyzes the transformations it brings in aspects such as innovating teaching models, enriching teaching resources, and enhancing students' innovation capabilities. It also delves into the challenges in terms of technology, ethics, and educational concepts during the application process and proposes corresponding countermeasures. The aim is to provide references for industrial design education to keep up with the pace of the times and cultivate more competitive industrial design talents.
Keywords
AIGC; Industrial Design Education; Teaching Reform; Countermeasures
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[2] Yang Dongrun. Lecture on "The Application Practice of AIGC in Design-related Teaching": Exploring New Paths for In-depth Integration and Leading the Innovation of Design Education [EB/OL]. Website of the School of Art, Tianjin Polytechnic University, 2024.
[3] Fang Y M. The Role of Generative AI in Industrial Design: Enhancing the Design Process and Learning [C]//2023 9th International Conference on Applied System Innovation (ICASI). IEEE, 2023.
[4] Chu Zhaosheng. AIGC-empowered Teaching Innovation: The Implication of the Times, Practical Approaches, and Risk Challenges [J/OL]. China Education News Network, 2025-02-14.
[5] Romano P, Pedersen E. Ethical Considerations in AI-Generated Content for Design Education [J]. Design Principles & Practices: An International Journal, 2024, 18(1): 1-12.
[6] Manovich L. AI and Art: New Horizons for Interdisciplinary Design Education [J]. Leonardo, 2023, 56(4): 359-365.
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