Design and Implementation of an OBE-Oriented, AI-Enabled Teaching Model for the Intellectual Property (IP) Character Design Course
Journal: Journal of Higher Education Research DOI: 10.32629/jher.v6i6.4709
Abstract
The rapid development of the cultural and creative industries has driven the continuous expansion of IP design positions, yet talent cultivation exhibits abundant quantity but structural imbalance, with increasing issues of creative homogenization and job-skill mismatches. In response to this challenge, universities urgently need to construct teaching systems better aligned with industry demands through intelligent reforms and industry–education integration mechanisms. Guided by the Outcome-Based Education (OBE) concept, this study integrates artificial intelligence technology into the teaching of the "IP Character Design" course, designing and implementing a closed-loop teaching model of “Objectives–Content–Implementation–Evaluation–Improvement” to address the disconnect between teaching goals and job skill development, enhance students’ innovation capacity and job adaptability, and provide a reference paradigm for the intelligent and industry–education integrated reform of art and design courses.
Keywords
Outcome-Based Education; artificial intelligence; IP character design; teaching model; curriculum reform
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[3] Cai, R. Research on Innovative Paths of IP Character Design Driven by AIGC [J]. Art Education Research, 2025, (18): 78–80.
[4] Wang, Z. Application Research of IP Character Design in University Cultural Construction [J]. Footwear Technology and Design, 2025, 5(17): 42–44.
[5] Wang, G., Xu, L. Chinese-Style Product Packaging, Illustration, and IP Character Design Based on Digital Information Technology [J]. Web Printing Industry, 2025, (09): 57.
[6] Xu, Y. Research on Application Strategies of AIGC Technology in IP Character Design [J]. Daguan, 2025, (09): 36–38.
[7] Zhong, G. Digital and Intelligent Transformation of Art and Design Teachers’ Teaching Quality: Influencing Factors, AI Empowerment Strategies, and Evaluation System Reconstruction [J]. International Education Forum, 2025, 3(9): 74–80. DOI: 10.26689/IEF.V3I9.12249.
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