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<p>In promoting rural revitalization strategy, the construction of curriculum Civics and politics is closely related to cultivating high-quality talents. Facing complex and changing social demands, the education system urgently needs to integrate civic and political education with the teaching of professional knowledge to optimize the talent cultivation process. This study analyzes the degree of matching between students’ course selection behavior and rural revitalization practice through data mining techniques. It proposes a curriculum optimization plan to strengthen the connection between the curriculum Civics and politics content and the actual needs of rural revitalization to improve the quality and efficiency of education. The study uses the particle swarm algorithm and the improved tree path matching algorithm to optimize the curriculum by analyzing the student course selection data and the rural revitalization practice data and mining the association rules between them. Through the improved data mining method, the match between students’ course selection preferences and rural revitalization needs can be effectively identified, in which the degree of integration of course civics and politics is increased by 23%, and students’ participation in rural revitalization practice activities is increased by 15%. The hierarchical clustering algorithm-based talent cultivation model is more suitable for rural revitalization. This study shows that optimizing curriculum ideology and politics in the Internet era, combined with data mining technology, can effectively promote the high-quality development of rural revitalization talent cultivation systems.</p>
</abstract>

In promoting rural revitalization strategy, the construction of curriculum Civics and politics is closely related to cultivating high-quality talents. Facing complex and changing social demands, the education system urgently needs to integrate civic and political education with the teaching of professional knowledge to optimize the talent cultivation process. This study analyzes the degree of matching between students’ course selection behavior and rural revitalization practice through data mining techniques. It proposes a curriculum optimization plan to strengthen the connection between the curriculum Civics and politics content and the actual needs of rural revitalization to improve the quality and efficiency of education. The study uses the particle swarm algorithm and the improved tree path matching algorithm to optimize the curriculum by analyzing the student course selection data and the rural revitalization practice data and mining the association rules between them. Through the improved data mining method, the match between students’ course selection preferences and rural revitalization needs can be effectively identified, in which the degree of integration of course civics and politics is increased by 23%, and students’ participation in rural revitalization practice activities is increased by 15%. The hierarchical clustering algorithm-based talent cultivation model is more suitable for rural revitalization. This study shows that optimizing curriculum ideology and politics in the Internet era, combined with data mining technology, can effectively promote the high-quality development of rural revitalization talent cultivation systems.

Research on the Integration of Curriculum Civics and Politics Construction into the High-Quality Talent Cultivation System for Rural Revitalization in the Internet Era

Applied Mathematics and Nonlinear Sciences

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

In promoting rural revitalization strategy, the construction of curriculum Civics and politics is closely related to cultivating high-quality talents. Facing...

Research on the Integration of Curriculum Civics and Politics Construction into the High-Quality Talent Cultivation System for Rural Revitalization in the Internet Era

Online veröffentlicht: 01. Apr. 2024

Seitenbereich: -

Eingereicht: 26. Jan. 2024

Akzeptiert: 02. Feb. 2024

DOI: https://doi.org/10.2478/amns-2024-0726

Schlüsselwörter
Curriculum ideology construction, Rural revitalization, Data mining, Internet era

© 2024 Ronglian Shi et al., published by Sciendo

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

Research on the Integration of Curriculum Civics and Politics Construction into the High-Quality Talent Cultivation System for Rural Revitalization in the Internet Era

Online veröffentlicht: 01. Apr. 2024

Seitenbereich: -

Eingereicht: 26. Jan. 2024

Akzeptiert: 02. Feb. 2024

DOI: https://doi.org/10.2478/amns-2024-0726

SchlüsselwörterCurriculum ideology construction, Rural revitalization, Data mining, Internet era

© 2024 Ronglian Shi et al., published by Sciendo

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

Schlüsselwörter
Curriculum ideology construction, Rural revitalization, Data mining, Internet era