<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>One of the key difficulties confronting universities today is how to use the current technology to raise educational standards and support educational reform. This is due to the ongoing growth of network technology. This study primarily explores the collaborative filtering recommendation algorithm-based recommendation model for college civics teaching materials. Analyzed are both the functional and non-functional demands for collegiate civic and political science teaching materials. For these requirements, the collaborative filtering recommendation algorithm is put out, and it is enhanced so that it may be applied in real-world settings. In order to execute the model, the system architecture and process are established, and the impacts of teaching interventions are used to examine the outcomes of the suggested practical teaching of civic and political science teaching materials in colleges and universities. The findings revealed that the p-values of the significance probabilities were, respectively, 0.056, 0.007, and 0.235 for the entrance exam and the first semester final examination, the entrance examination and the second semester final examination, and the first semester final examination and the second semester final examination. The collaborative filtering recommendation algorithm-based recommendation model for teaching resources recommendation of university thinking and politics proposed in this paper is effective in enhancing students’ learning autonomy and promoting the exchange of ideas. It has a certain effect.</p>
</abstract>

One of the key difficulties confronting universities today is how to use the current technology to raise educational standards and support educational reform. This is due to the ongoing growth of network technology. This study primarily explores the collaborative filtering recommendation algorithm-based recommendation model for college civics teaching materials. Analyzed are both the functional and non-functional demands for collegiate civic and political science teaching materials. For these requirements, the collaborative filtering recommendation algorithm is put out, and it is enhanced so that it may be applied in real-world settings. In order to execute the model, the system architecture and process are established, and the impacts of teaching interventions are used to examine the outcomes of the suggested practical teaching of civic and political science teaching materials in colleges and universities. The findings revealed that the p-values of the significance probabilities were, respectively, 0.056, 0.007, and 0.235 for the entrance exam and the first semester final examination, the entrance examination and the second semester final examination, and the first semester final examination and the second semester final examination. The collaborative filtering recommendation algorithm-based recommendation model for teaching resources recommendation of university thinking and politics proposed in this paper is effective in enhancing students’ learning autonomy and promoting the exchange of ideas. It has a certain effect.

Exploring the Innovation Practice of Teaching Civics Education in Universities in the Network Era

Chengdu University of Traditional Chinese Medicine

Applied Mathematics and Nonlinear Sciences

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

One of the key difficulties confronting universities today is how to use the current technology to raise educational standards and support educational reform....

Exploring the Innovation Practice of Teaching Civics Education in Universities in the Network Era

Online veröffentlicht: 11. Okt. 2023

Seitenbereich: -

Eingereicht: 26. Dez. 2022

Akzeptiert: 21. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00593

Schlüsselwörter
Collaborative filtering, Recommendation algorithm, Teaching intervention, System architecture

© 2023 Siyang Li et al., published by Sciendo

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

Exploring the Innovation Practice of Teaching Civics Education in Universities in the Network Era

Online veröffentlicht: 11. Okt. 2023

Seitenbereich: -

Eingereicht: 26. Dez. 2022

Akzeptiert: 21. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00593

SchlüsselwörterCollaborative filtering, Recommendation algorithm, Teaching intervention, System architecture

© 2023 Siyang Li et al., published by Sciendo

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

Schlüsselwörter
Collaborative filtering, Recommendation algorithm, Teaching intervention, System architecture