Research on the Optimization Path of Digital Intelligence Empowerment in University Student Community Governance

Abstract

Against the backdrop of the rapid development of digital intelligence technology and the modernization of higher education governance, university student community governance is facing new demands for refinement, personalization, and collaboration. Traditional governance models sufier from issues such as lagging risk perception, misaligned services, and insufflcient coordination, leading to inefficient governance and a lack of fairness. This study will analyze the practical obstacles in digital intelligence empowerment, explore optimization paths, and promote a paradigm shift in community governance theory from "technology-driven" to "value-led." It aims to enhance the resilience, refinement, and fairness of student community governance.