<abstract xmlns="http://www.w3.org/1999/xhtml">
<p>The advent of the era of big data has had an important impact on the education mode, education management methods, and education thinking paths of college ideology and politics. In this paper, an innovative platform for the theoretical practice of ideological and political education based on the background of big data is constructed by a B/S (browser/server) architecture system, which first accesses the server database and executes the application. Secondly, UML (Unified Modeling Language) modeling is established, and static and dynamic modeling are used to realize the use of distance learning systems. Finally, the important branches of FCM algorithm modeling are applied to optimize the problem using cluster transformation, and the system is examined for data. The results show that the platform constructed in this paper can make students’ awareness of teaching contents reach 75%, attention reach 53%, the overall effect of teaching reach 88%, and the average value of online examination score is 7.2 in the teaching system. Thus, the platform constructed in this paper can help promote the theoretical practice of ideological and political education in colleges and universities and can better propose new ideas and methods for ideological and political education.</p>
</abstract>

The advent of the era of big data has had an important impact on the education mode, education management methods, and education thinking paths of college ideology and politics. In this paper, an innovative platform for the theoretical practice of ideological and political education based on the background of big data is constructed by a B/S (browser/server) architecture system, which first accesses the server database and executes the application. Secondly, UML (Unified Modeling Language) modeling is established, and static and dynamic modeling are used to realize the use of distance learning systems. Finally, the important branches of FCM algorithm modeling are applied to optimize the problem using cluster transformation, and the system is examined for data. The results show that the platform constructed in this paper can make students’ awareness of teaching contents reach 75%, attention reach 53%, the overall effect of teaching reach 88%, and the average value of online examination score is 7.2 in the teaching system. Thus, the platform constructed in this paper can help promote the theoretical practice of ideological and political education in colleges and universities and can better propose new ideas and methods for ideological and political education.

Research on the innovation of ideological and political education theory and practice in colleges and universities under the background of big data

Applied Mathematics and Nonlinear Sciences

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

The advent of the era of big data has had an important impact on the education mode, education management methods, and education thinking paths of college...

Research on the innovation of ideological and political education theory and practice in colleges and universities under the background of big data

Online veröffentlicht: 01. Aug. 2023

Seitenbereich: -

Eingereicht: 13. Okt. 2022

Akzeptiert: 09. Feb. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00117

Schlüsselwörter
UML modeling, Big data technology, FCM algorithm, B/S architecture system, Static model

© 2023 Yurong Zhang, 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 theory and practice in colleges and universities under the background of big data

Online veröffentlicht: 01. Aug. 2023

Seitenbereich: -

Eingereicht: 13. Okt. 2022

Akzeptiert: 09. Feb. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00117

SchlüsselwörterUML modeling, Big data technology, FCM algorithm, B/S architecture system, Static model

© 2023 Yurong Zhang, published by Sciendo

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

Schlüsselwörter
UML modeling, Big data technology, FCM algorithm, B/S architecture system, Static model