The Transformation, Challenges, and Reinvention of China's Design Education Model in the AIGC Era
Article Information
Abstract
With the paradigm shift driven by Artificial Intelligence Generated Content (AIGC) technology, the design industry is undergoing unprecedented transformation and reconstruction. China's traditional design education model faces severe challenges, as long-standing emphases on hand-drawing skills and mastery of classical software increasingly fail to meet the evolving demands of the AIGC era. This paper proposes that design education must undergo a comprehensive Four-Dimensional Reconstruction encompassing four key dimensions: educational objectives, curriculum system, assessment mechanisms, and pedagogical environments. Drawing on a systematic literature review, the study develops a conceptual model aimed at cultivating design talents equipped with AI literacy, critical thinking, and interdisciplinary integration capabilities. The findings indicate that design education in the AIGC era requires not merely technological updates, nor isolated reforms in educational philosophy, teaching methods, or evaluation systems, but rather a holistic, all-dimensional reconstruction to align with the profound changes in the field.
Graphical Abstract
Keywords
Data Availability Statement
Funding
Conflicts of Interest
AI Use Statement
Ethical Approval and Consent to Participate
References
- Wang, Y., Wang, Z., & Mu, R. (2024). Modern design thinking and AIGC intervention. In Design Studies and Intelligence Engineering (pp. 850–862). IOS Press.
[CrossRef] [Google Scholar] - Sheng, Y. (2024). Exploring the coexisting relationship between artificial intelligence-generated content (AIGC) and designer. Applied Computer Engineering, 34(1), 23–30.
[Google Scholar] - Huang, Z., Fu, X., & Zhao, J. (2025). Research on AIGC-Integrated Design Education for Sustainable Teaching: An Empirical Analysis Based on the TAM and TPACK Models. Sustainability, 17(12), 5497.
[CrossRef] [Google Scholar] - Luo, Y., & Wang, L. (2023, September). Crisis and responses to design and design education in the AIGC era. In ICEKIM 2023: Proceedings of the 4th International Conference on Education, Knowledge and Information Management, ICEKIM 2023, May 26–28, 2023, Nanjing, China (Vol. 469). European Alliance for Innovation.
[Google Scholar] - Chen, C., Wu, Z., Lai, Y., Ou, W., Liao, T., & Zheng, Z. (2023). Challenges and remedies to privacy and security in AIGC: Exploring the potential of privacy computing, blockchain, and beyond. arXiv preprint arXiv:2306.00419.
[Google Scholar] - Koehler, M., & Mishra, P. (2009). What is technological pedagogical content knowledge (TPACK)?. Contemporary issues in technology and teacher education, 9(1), 60-70.
[Google Scholar] - Fabri, M. (2015, August). Thinking with a new purpose: Lessons learned from teaching design thinking skills to creative technology students. In Design, User Experience, and Usability: Design Discourse: 4th International Conference, DUXU 2015, Held as Part of HCI International 2015, Los Angeles, CA, USA, August 2–7, 2015, Proceedings, Part I (pp. 32-43). Cham: Springer International Publishing.
[CrossRef] [Google Scholar] - Koh, J. H. L., Chai, C. S., Benjamin, W., & Hong, H. Y. (2015). Technological pedagogical content knowledge (TPACK) and design thinking: A framework to support ICT lesson design for 21st century learning. The Asia-Pacific Education Researcher, 24(3), 535–543.
[CrossRef] [Google Scholar] - Felix, A., Moreeng, B., & Mosia, M. (2014). Design Thinking: An Alternative for Educational ICT Integration Training?. Journal of Educational Technology, 2(2), 24–45.
[CrossRef] [Google Scholar] - Ge, H., & Chen, X. (2024). Exploring Factors Influencing the Integration of AI Drawing Tools in Art and Design Education. ASRI. Arte y Sociedad. Revista de Investigación en Artes y Humanidad digitales., (26), 108-128.
[CrossRef] [Google Scholar] - Zhou, Y., & Chen, C. H. (2025). Examining the Impact of Large Language Models on Design: Functions, Strengths, Limitations, and Roles. Design and Artificial Intelligence, 100017.
[CrossRef] [Google Scholar] - Xuefang, X., & Xueling, H. (2025). Innovative Paradigm and Optimization Mechanism for High-Quality Development of Digital Cultural Industries Driven by New Quality Productive Forces. Contemporary Social Sciences, 10(4), 38-58.
[CrossRef] [Google Scholar]
Cite This Article
TY - JOUR AU - Yang, Yifan AU - Fu, Ruoyu AU - Xiang, Liqun PY - 2026 DA - 2026/03/02 TI - The Transformation, Challenges, and Reinvention of China's Design Education Model in the AIGC Era JO - Journal of Social Systems and Policy Analysis T2 - Journal of Social Systems and Policy Analysis JF - Journal of Social Systems and Policy Analysis VL - 3 IS - 1 SP - 45 EP - 54 DO - 10.62762/JSSPA.2025.202588 UR - https://www.icck.org/article/abs/JSSPA.2025.202588 KW - AIGC KW - artificial intelligenc KW - design education KW - educational transformation KW - four-dimensional reconstruction model AB - With the paradigm shift driven by Artificial Intelligence Generated Content (AIGC) technology, the design industry is undergoing unprecedented transformation and reconstruction. China's traditional design education model faces severe challenges, as long-standing emphases on hand-drawing skills and mastery of classical software increasingly fail to meet the evolving demands of the AIGC era. This paper proposes that design education must undergo a comprehensive Four-Dimensional Reconstruction encompassing four key dimensions: educational objectives, curriculum system, assessment mechanisms, and pedagogical environments. Drawing on a systematic literature review, the study develops a conceptual model aimed at cultivating design talents equipped with AI literacy, critical thinking, and interdisciplinary integration capabilities. The findings indicate that design education in the AIGC era requires not merely technological updates, nor isolated reforms in educational philosophy, teaching methods, or evaluation systems, but rather a holistic, all-dimensional reconstruction to align with the profound changes in the field. SN - 3068-5540 PB - Institute of Central Computation and Knowledge LA - English ER -
@article{Yang2026The,
author = {Yifan Yang and Ruoyu Fu and Liqun Xiang},
title = {The Transformation, Challenges, and Reinvention of China's Design Education Model in the AIGC Era},
journal = {Journal of Social Systems and Policy Analysis},
year = {2026},
volume = {3},
number = {1},
pages = {45-54},
doi = {10.62762/JSSPA.2025.202588},
url = {https://www.icck.org/article/abs/JSSPA.2025.202588},
abstract = {With the paradigm shift driven by Artificial Intelligence Generated Content (AIGC) technology, the design industry is undergoing unprecedented transformation and reconstruction. China's traditional design education model faces severe challenges, as long-standing emphases on hand-drawing skills and mastery of classical software increasingly fail to meet the evolving demands of the AIGC era. This paper proposes that design education must undergo a comprehensive Four-Dimensional Reconstruction encompassing four key dimensions: educational objectives, curriculum system, assessment mechanisms, and pedagogical environments. Drawing on a systematic literature review, the study develops a conceptual model aimed at cultivating design talents equipped with AI literacy, critical thinking, and interdisciplinary integration capabilities. The findings indicate that design education in the AIGC era requires not merely technological updates, nor isolated reforms in educational philosophy, teaching methods, or evaluation systems, but rather a holistic, all-dimensional reconstruction to align with the profound changes in the field.},
keywords = {AIGC, artificial intelligenc, design education, educational transformation, four-dimensional reconstruction model},
issn = {3068-5540},
publisher = {Institute of Central Computation and Knowledge}
}
Article Metrics
Publisher's Note
ICCK stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and Permissions
Copyright © 2026 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
Portico