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Innovation and Practice of an AI-Enabled Industry–Education Integration and Collaborative Education Mechanism for Digital Media Art Programs

Author(s)

Qianyu Liu

Affiliation(s)

School of Arts and Media, Yunnan College of Business Management, Kunming, Yunnan, China

Abstract

The rapid development of artificial intelligence (AI), particularly generative artificial intelligence (GenAI), has transformed creative production processes and professional competency requirements in the digital media industry. These changes present new challenges for digital media art education, including outdated curricula, insufficient industry participation, limited integration of emerging technologies, and inadequate assessment mechanisms. This study explores the innovation of industry–education integration and collaborative education mechanisms in digital media art programs under AI-driven transformation. Based on experiential learning theory, project-based learning, and university–industry collaboration, a five-dimensional collaborative education framework is proposed, incorporating industry-oriented competency development, AI-integrated curriculum construction, dual-mentor teaching, authentic project-based learning, and multidimensional assessment. Furthermore, practical implementation strategies are developed to promote the integration of artistic creativity, intelligent technologies, and industry practices. The study provides a conceptual framework for improving interdisciplinary talent cultivation and advancing sustainable university–industry collaboration in digital media art education.

Keywords

Artificial Intelligence; Digital Media Art; Industry-Education Integration; Collaborative Education; Generative AI; Talent Cultivation

References

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