Research on the Innovation of Ideological and Political Education in Universities Based on Artificial Intelligence Machine Learning in a Wireless Network Environment

Abstract

In order to facilitate students' study and life on campus, the on-campus wireless network has become an essential infrastructure for universities, which has led to an exponential growth of data in the on-campus network. How to use the on-campus network to promote students' enthusiasm for ideological and political education courses has become a key goal for many universities. As a result, this paper first introduces the innovations developed by universities for better ideological teaching using such a large amount of data, followed by an analysis of the issues that exist. Then, to address the problem that the existing on-campus wireless network data are not fully utilized, we combine machine learning techniques to classify the data on the intranet and analyze the use of on-campus resources based on the classification. Finally, according to students' use of the intranet, the allocation ratio of on-campus resources is adjusted at different times to increase the attractiveness of ideological and political education courses to students and promote their learning.