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<p>Innovative ideological and political education for college students is to help better students improve their ideological quality and political literacy. In this paper, under the background of big data, the Civic and Political Cloud Education Platform is constructed using big data technology, which is mainly composed of four main parts: model layer, view layer, control layer, and basic services. Student behavior data is collected and analyzed through a collaborative filtering recommendation algorithm under big data collection and analysis technology, and performance simulation analysis is conducted for the Civic and Political Science Cloud Education Platform. From the performance analysis, when the number of concurrent users of the Civic Education Cloud Platform is 80-120, the average transaction processing per second is stable at 10.5 s. From the practicality, the Civic Education Cloud Platform built by big data can effectively explore the value of Civic Education teaching resources. This shows that the Civic and Political Science cloud education platform is an effective way to innovate and develop the ideological and political education of college students, and through this platform, the ideological quality and political literacy of college students can be effectively improved.</p>
</abstract>

Innovative ideological and political education for college students is to help better students improve their ideological quality and political literacy. In this paper, under the background of big data, the Civic and Political Cloud Education Platform is constructed using big data technology, which is mainly composed of four main parts: model layer, view layer, control layer, and basic services. Student behavior data is collected and analyzed through a collaborative filtering recommendation algorithm under big data collection and analysis technology, and performance simulation analysis is conducted for the Civic and Political Science Cloud Education Platform. From the performance analysis, when the number of concurrent users of the Civic Education Cloud Platform is 80-120, the average transaction processing per second is stable at 10.5 s. From the practicality, the Civic Education Cloud Platform built by big data can effectively explore the value of Civic Education teaching resources. This shows that the Civic and Political Science cloud education platform is an effective way to innovate and develop the ideological and political education of college students, and through this platform, the ideological quality and political literacy of college students can be effectively improved.

Research on the innovation of ideological and political education for college students based on the Civic and Political Science Cloud Education Platform

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Innovative ideological and political education for college students is to help better students improve their ideological quality and political literacy. In...

Research on the innovation of ideological and political education for college students based on the Civic and Political Science Cloud Education Platform

Publié en ligne: 16 sept. 2023

Pages: -

Reçu: 06 oct. 2022

Accepté: 27 mars 2023

DOI: https://doi.org/10.2478/amns.2023.2.00331

Mots clés
Big data technology, Cloud education platform, Collaborative filtering recommendation algorithm, performance simulation

© 2023 Siyi Luo et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the innovation of ideological and political education for college students based on the Civic and Political Science Cloud Education Platform

Publié en ligne: 16 sept. 2023

Pages: -

Reçu: 06 oct. 2022

Accepté: 27 mars 2023

DOI: https://doi.org/10.2478/amns.2023.2.00331

Mots clésBig data technology, Cloud education platform, Collaborative filtering recommendation algorithm, performance simulation

© 2023 Siyi Luo et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Big data technology, Cloud education platform, Collaborative filtering recommendation algorithm, performance simulation