Using Big Data Visualization Technology to Study the Connotation, Logical Mechanism and Path of the Integration of Red Culture into Civic-Political Construction in Colleges and Universities

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Authors: Yunbin Ma
Cited by: 1

Abstract

Big data visualization technology provides a new research perspective and practice path for the integration of red culture into the construction of college ideology. In this paper, the existing red cultural resources are firstly digitally collected and processed, combined with computer and AI technology to realize the repair and reproduction of damaged resources, and then equipped with a digital resource library to complete resource integration and sharing. Then the virtual reality teaching scene modeling of red culture into the construction of college ideology, realize the visualization teaching of red cultural resources, and carry out the teaching design of related knowledge points and start the teaching practice. The average grades of the experimental class and the control class before teaching were 72.80 and 72.91 respectively, with a small gap, and the grades of the experimental class after teaching were 8.8 points higher than those of the control class. The students' recognition of this paper's teaching method in terms of nurturing function, value objective, theoretical interpretation and teaching innovation is between 4.40 and 4.80, with a high degree of overall recognition. Through the fuzzy hierarchical analysis method, the communication effect of red culture in the Civics classroom under the virtual reality visualization technology was obtained as 84.77 points, with better evaluation results. The results of the study, fully proved the effectiveness of the red culture based on visualization technology into the path of Civics construction in colleges and universities.

Fields of Study & Subjects

Ideological and Political Education Digital Media and Visual Art Artificial Intelligence Applications

Publication details

Journal / source
International Journal of Computer Information Systems and Industrial Management Applications
Publisher
Cerebration Science Publishing Co., Limited
Volume
18
Pages
13–13
Publication date
12 January 2026