Personalized Teaching Design and Practice of Exhibition Project Management Driven by Dynamic Knowledge Graph

Abstract

To address challenges in exhibition project management educationincluding insufficient personalized support, outdated teaching
resources, and limited industry-education integrationa dynamic knowledge graph-based teaching system has been developed. This dualdriven framework integrates "knowledge graphs" with real-world industry scenarios, featuring an intelligent closed-loop personalized teaching
model of "diagnosis-adaptation-reinforcement-tracking". By systematically combining authentic industry cases with course knowledge nodes,
the system utilizes the Chaoxing platform to create a dynamic visual knowledge graph and develops a hierarchical real-world task repository, achieving synergistic cultivation of knowledge structure and practical skills. Teaching practice demonstrates that this model effectively
enhances students' comprehensive project management capabilities, innovative adaptability, and teamwork competencies. It drives intelligent
transformation of exhibition-related professional courses under the "AI+Education" context while optimizing teaching resource allocation,
providing a replicable model and empirical evidence for personalized teaching reforms in humanities practice courses.