Research on the Collaborative Governance Model of AI Agents for University Network Public Opinion under the Concept of Management-Education Integration

Abstract

There are many problems in the governance of university network public opinion, such as information fragmentation, carrier diversity and lack of cooperation. The structure of the old management model is too large and general; thus, it cannot respond promptly. In light of the concept of management-education integration, this paper studies the collaborative model of AI agents in the governance of public opinion on university networks and systematically analyzes it from the perspectives of theory, structure, mechanism and operation. Based on the above research, management-education integration is closely related to technological empowerment, and thus, an algorithm-based multi-stakeholder collaborative framework has been established; a four-in-one guarantee system for departmental cooperation, research-practice cooperation, human-AI collaboration and regulatory cooperation has been built, the three-in-one operating model of integrating digital-intelligent perception with educational recognition, collaborative regulation and flexible guidance has been optimised, and efficacy evaluation and model iteration have also been carried out. Based on the above research, AI agents are now being employed to organise the large amount of online public opinion and help generate various educational materials in coordination with people.