Abstract: This study addresses key challenges in virtual simulation teaching for management disciplines, such as the lack of dynamic scenarios, rigid interaction mechanisms, and monotonous training models. By leveraging generative AI technologies, an intelligent instructional framework integrating knowledge graphs, prompt engineering, and embedding techniques was developed. Empirical implementation in an ERP(Enterprise Resource Planning) course demonstrated that the framework significantly enhances situational authenticity and interaction depth, establishing a closed-loop process of“technology empowerment-scenario reconstruction-capability advancement”. The approach offers a practical and replicable paradigm for reforming management disciplines practice education.

Key words: ChatGPT, Virtual simulation practice teaching, ERP systems, Intelligent teaching, Scenario construction, Knowledge graph