Design and Implementation of an OBE-Oriented, AI-Enabled Teaching Model for the Intellectual Property (IP) Character Design Course

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.