Construction of University Network Governance System Based on Artificial Intelligence and Network Algorithm Recommendation

Abstract

With the introduction of the concept of computer education, the Internet began to pay attention to education and learning, and a large number of Internet learning webpages came into being, covering all levels of education and science. Driven by this wave of education, the school actively encourages teachers to develop various online courses that are not restricted by time and space, and promote the innovation of learning models. Through these online platforms, some colleges and universities have developed online courses for college students, hoping to stimulate learners' intrinsic motivation and cultivate students' personality through online courses and other teaching methods. However, online courses have constructed a complex engineering system, and there are currently some problems, such as the unclear layout of online courses, and similar professional content design and evaluation methods. How to build a university network governance system has become an important research direction for experts and scholars. This article introduces artificial intelligence, calculates the construction data of the university network governance system based on the fitness function of artificial intelligence and network algorithms, and constructs a model diagram of the university network governance system. It is hoped that this research can play a positive role in the governance of university networks.

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