Innovation of Network Ideological and Political Education in Universities Facing the New Era of Internet 5G

Abstract

Relying on the reform of the learning field curriculum system of ideological and political education courses in colleges and universities, the association rules between data mining and soft computing technology are used to mine the association relationship between the software professional courses of the department, and the ideas and methods of optimizing the course setting are proposed. Several approaches for analyzing difficulties in the reform and development of ideological and political education in colleges and universities, as well as proposing improvements and optimization strategies, have been offered. The countermeasures to improve the effectiveness of ideological and political education in universities are proposed to solve the timeliness problems of ideological and political education reform in colleges and universities. Here the 5G network can get initialized. Then, the input education details are preprocessed, and the clustering of the educational information is performed by using the hybrid fuzzy K-means approach. Then, the features can get extracted by using the extensibility ant component analysis. Then, the impact was evaluated by using the mixed ensemble approach. Then, after checking the information viability, it can be stored in the database for further analysis. Then, the viable information can be sent to the student ID through improved TCP. The findings demonstrate that the mechanism presented exceeds the other algorithms examined, by expressing high accuracy especially concerning viable education information generation and transmission.