Research on the Strategy of Using Data Visualization Technology to Enhance the Effect of Ideological and Political Education of Students in Colleges and Universities

• Published in: Applied mathematics and nonlinear sciences Vol. 10; no. 1
• Main Author: Ji, Liya
• Format: Journal Article
• Language: English
• Published: Beirut Sciendo 01.01.2025; De Gruyter Poland
• Subjects: 97B20; CART classification tree; Classrooms; Distance learning; Education; Educational technology; Ideological and political education; Ideology; Students; Teaching experiment; Teaching methods; Visualization; Visualization technology
• ISSN: 2444-8656; 2444-8656
• DOI: 10.2478/amns-2025-0698

The first section of the article proposes a framework of visual learning analysis tools based on ideological and political education from the perspective of visual learning analysis and other perspectives. The experimental objectives as well as the objects are established, and the experimental scheme of the visualization teaching strategy is designed, which uses the online learning platform as a medium to demonstrate the effectiveness of the application of visualization technology on ideological and political education. Combined with the CART classification tree, the educational strategy is evaluated to see if it can improve students’ ideological and political level. The teaching strategy using visualization technology makes the experimental group students’ performance significantly higher than the control group, and the difference between the two groups is 4.71 points. Visualization technology can improve the quality of classroom teaching in Civics and Politics teaching, the degree of application of visualization technology in school M is 0.87, and the quality of teaching in this school reaches 80.7. The average satisfaction of students with with the visualization technology in learning interest, classroom efficiency, and classroom interactivity ranges from 4.09 to 4.43. The success rate of students under the visualization technology teaching strategy is higher, with 51 more students compared to traditional teaching. After experimental verification, the data visualization learning method proposed in this paper can be used as an optimization strategy for the ideological and political education of college students.