Exploration of teaching paradigm for the history of industrial design empowered by generative artificial intelligence

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Abstract

The rapid development of artificial intelligence technology is profoundly reshaping the education ecosystem, while generative AI tools such as ChatGPT and Midjourney are reconstructing the teaching logic of industrial design history. Based on the constructivist learning and design ethics theory, this article proposes three main dimensions of AI empowering the teaching of industrial design history, namely the deep integration of AI technology, the value orientation of curriculum ideological and political values, interdisciplinary knowledge reconstruction, and project-based practice. Compared with the teaching and research project of the "Industrial Design History"course reform at Wuhan University of Technology, this article verifies the potential and limitations of generative AI in historical data processing, situational construction, and critical thinking training, providing a new paradigm of "human-machine collaboration"for design history teaching.

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Zhou, Y., & Leng, H. (2026). Exploration of teaching paradigm for the history of industrial design empowered by generative artificial intelligence. In Proceedings of 2025 3rd International Conference on Information Education and Artificial Intelligence, ICIEAI 2025 (pp. 977–983). Association for Computing Machinery, Inc. https://doi.org/10.1145/3799457.3799617

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