The Construction of Information Platform of Ideological and Political Education in Universities Based on Information Diffusion Model

Author:

Wang Xiaoting1,Ma Rongfan2

Affiliation:

1. 1 Scientific Socialism Teaching and Research Office, Party School of the Yuncheng Committee of the Communist Party of China , Yuncheng, Shanxi, 044000 , China .

2. 2 Teaching and Research Section of Basic Principles of Marxism, Party School of the Yuncheng Committee of the Communist Party of China , Yuncheng, Shanxi, 044000 , China .

Abstract

Abstract This paper examines the role of the information diffusion model in constructing ideological and political education information platforms in colleges and universities. The degree of information diffusion is calculated by establishing the diffusion coefficient to estimate the number of two-dimensional information diffusion losses combined with the two-dimensional information diffusion loss function of information sample points. The optimization of the information diffusion maximization algorithm improves the accuracy of calculating information diffusion, and the evaluation index of information diffusion maximization is formulated to judge the degree of information diffusion. The results indicate that the Civic Education Information Platform is highly practical. The functional index scores are all above 70 and have usability, among which the functional practicality index has the highest score, with an index score of 77.21. The information technology platform is effective. The correct rate of students completing questions on the platform is generally above 75%.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Reference17 articles.

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3. Wang, S. (2017). Construction of mobile teaching platform for the ideological and political education course based on the multimedia technology. International Journal of Emerging Technologies in Learning, 12(9), 156.

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5. Zhou, J., Wei, Z., Jia, F., & Li, W. (2021). Course ideological and political teaching platform based on the fusion of multiple data and information in an intelligent environment. Journal of Sensors.

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