AI-Empowered Restructuring of the Security Curriculum Cluster for Network Engineering Programs in Private Universities: A Case Study of Guangdong Neusoft University
Facing challenges of lagging curriculum updates, fragmented articulation, isolated practice teaching, and distorted evaluation, this paper interprets AI-empowered curriculum cluster restructuring from demand-side sensing, capability mapping, and data feedback, constructs a “five-in-one” framework linking AI-based dynamic sensing, capability map modeling, cluster restructuring, smart teaching implementation, and data-driven evaluation, and proposes an implementation path covering demand sensing, a four-module curriculum system, core-course restructuring, three-tier AI usage norms, and closed-loop evaluation, offering a reference for application-oriented cybersecurity talent cultivation in private universities.
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