HUMAN-MACHINE COLLABORATION AS A PATHWAY TO REFORM IN ART AND DESIGN EDUCATION IN THE AGE OF ARTIFICIAL INTELLIGENCE: THE CASE OF CHINESE UNIVERSITIES
Abstract
From the perspective of human-machine collaboration, this paper analyzes the structural problems currently present in China’s university-level art and design education, examines the opportunities and challenges that AIGC-driven developments bring to talent cultivation, and draws on distributed cognition and constructivist learning theory to propose a reform framework encompassing four dimensions: training objectives, curriculum systems, teaching platforms, and evaluation mechanisms.
Keywords
AI-generated content, art and design education, human-machine collaboration, curriculum reform.How to Cite
References
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Copyright (c) 2026 Zheng Yiwen, Kasimov. O.S. Zheng Yiwen, Kasimov. O.S.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Art and Design: Social Science