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<p>The development of informatization has increasingly become the transformation direction of the Civic Education in colleges and universities in the new media era. This paper outlines the path of civic and political information technology, in conjunction with campus networks in general, and presents a series of support mechanisms for information technology. Taking S university as a research case, firstly, Fractal Brownian motion is used to scientifically characterize the traffic of campus network users. The network group characteristics are estimated through the determination of the Hurst coefficient. Secondly, the Apriori algorithm is used to extract the association rules of online behaviors hidden in these traffic features to explore the relationship between online behaviors in time series. Finally, by combining the above features and association rules, we developed subspace clustering techniques for college students’ campus Internet usage behavior. We proposed a path for ideological education based on the clustering results. The results show that the online behavior of different students on campus shows significant differences. Class A students like to stay up late on weekends, and the number of such students online fluctuates slightly from 14:30 to 23:30. Class B students generally prefer to go online during the daytime. Class C students also have some students who stay up late, but the average duration is not long, with a maximum of 766 seconds. Class D students all stay up all night, and the peak of the mean value of the online duration occurs at 4:30. Class D students all stay up all night, and the peak of the mean value of the online duration occurs at 4:30. Category D students need to be given more attention in the management of political education.</p>
</abstract>

The development of informatization has increasingly become the transformation direction of the Civic Education in colleges and universities in the new media era. This paper outlines the path of civic and political information technology, in conjunction with campus networks in general, and presents a series of support mechanisms for information technology. Taking S university as a research case, firstly, Fractal Brownian motion is used to scientifically characterize the traffic of campus network users. The network group characteristics are estimated through the determination of the Hurst coefficient. Secondly, the Apriori algorithm is used to extract the association rules of online behaviors hidden in these traffic features to explore the relationship between online behaviors in time series. Finally, by combining the above features and association rules, we developed subspace clustering techniques for college students’ campus Internet usage behavior. We proposed a path for ideological education based on the clustering results. The results show that the online behavior of different students on campus shows significant differences. Class A students like to stay up late on weekends, and the number of such students online fluctuates slightly from 14:30 to 23:30. Class B students generally prefer to go online during the daytime. Class C students also have some students who stay up late, but the average duration is not long, with a maximum of 766 seconds. Class D students all stay up all night, and the peak of the mean value of the online duration occurs at 4:30. Class D students all stay up all night, and the peak of the mean value of the online duration occurs at 4:30. Category D students need to be given more attention in the management of political education.

Exploring the Path of Informatization Construction of Civic Education in Colleges and Universities in the Era of Melting Media

Applied Mathematics and Nonlinear Sciences

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

The development of informatization has increasingly become the transformation direction of the Civic Education in colleges and universities in the new media...

Exploring the Path of Informatization Construction of Civic Education in Colleges and Universities in the Era of Melting Media

Publié en ligne: 03 mai 2024

Pages: -

Reçu: 08 avr. 2024

Accepté: 27 avr. 2024

DOI: https://doi.org/10.2478/amns-2024-0930

Mots clés
Fractal Brownian Motion, Hurst Coefficient, Apriori Algorithm, Subspace Clustering, Association Rule, Civic Education

© 2024 Si Shi, published by Sciendo

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

Exploring the Path of Informatization Construction of Civic Education in Colleges and Universities in the Era of Melting Media

Publié en ligne: 03 mai 2024

Pages: -

Reçu: 08 avr. 2024

Accepté: 27 avr. 2024

DOI: https://doi.org/10.2478/amns-2024-0930

Mots clésFractal Brownian Motion, Hurst Coefficient, Apriori Algorithm, Subspace Clustering, Association Rule, Civic Education

© 2024 Si Shi, published by Sciendo

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

Mots clés
Fractal Brownian Motion, Hurst Coefficient, Apriori Algorithm, Subspace Clustering, Association Rule, Civic Education