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

<p>As the main form of improving students’ labor ability level and labor consciousness, labor education is conducive to promoting students’ physical and mental health development, and its content has a high overlap with ideological education. Under this premise, this paper proposes a BOPPPS teaching model that integrates labor ability cultivation and ideological education and constructs an evaluation model of ideological teaching to provide a basis for the validation and analysis of the examples of the BOPPPS teaching model. In the construction of the Civic and Political teaching evaluation model, based on the relevant principles of cluster analysis, an improved NP algorithm is proposed on the basis of K-means clustering algorithm and hierarchical cohesion algorithm, the data matrix is constructed, and the clustering features are introduced to portray the clustering characteristics. The evaluation model of Civics teaching is built based on cluster analysis and combined with hierarchical analysis. The example experiment of the BOPPPS teaching model was launched in University L. The difference between the clusters of Civics teaching evaluation obtained from the experiment and the proportion of the score section of the subject students’ grades is less than 1%, which is basically the same, which verifies the performance of the Civics teaching evaluation model. The mean value of each dimension of labor quality evaluation of the subject students is greater than 4, and the performance of labor quality is excellent.</p>
</abstract>

As the main form of improving students’ labor ability level and labor consciousness, labor education is conducive to promoting students’ physical and mental health development, and its content has a high overlap with ideological education. Under this premise, this paper proposes a BOPPPS teaching model that integrates labor ability cultivation and ideological education and constructs an evaluation model of ideological teaching to provide a basis for the validation and analysis of the examples of the BOPPPS teaching model. In the construction of the Civic and Political teaching evaluation model, based on the relevant principles of cluster analysis, an improved NP algorithm is proposed on the basis of K-means clustering algorithm and hierarchical cohesion algorithm, the data matrix is constructed, and the clustering features are introduced to portray the clustering characteristics. The evaluation model of Civics teaching is built based on cluster analysis and combined with hierarchical analysis. The example experiment of the BOPPPS teaching model was launched in University L. The difference between the clusters of Civics teaching evaluation obtained from the experiment and the proportion of the score section of the subject students’ grades is less than 1%, which is basically the same, which verifies the performance of the Civics teaching evaluation model. The mean value of each dimension of labor quality evaluation of the subject students is greater than 4, and the performance of labor quality is excellent.

Structure of the BOPPPS model of integrating labor competency development into higher civic education

Jiangxi Medical College, Jiangxi, Shangrao

Applied Mathematics and Nonlinear Sciences

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

As the main form of improving students’ labor ability level and labor consciousness, labor education is conducive to promoting students’ physical and mental...

Structure of the BOPPPS model of integrating labor competency development into higher civic education

Publicado en línea: 05 ago 2024

Páginas: -

Recibido: 05 abr 2024

Aceptado: 22 jun 2024

DOI: https://doi.org/10.2478/amns-2024-2035

Palabras clave
BOPPPS model, Cluster analysis, Hierarchical analysis method, NP algorithm, Civic education

© 2024 Mengjia Cai et al., published by Sciendo

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

Structure of the BOPPPS model of integrating labor competency development into higher civic education

Publicado en línea: 05 ago 2024

Páginas: -

Recibido: 05 abr 2024

Aceptado: 22 jun 2024

DOI: https://doi.org/10.2478/amns-2024-2035

Palabras claveBOPPPS model, Cluster analysis, Hierarchical analysis method, NP algorithm, Civic education

© 2024 Mengjia Cai et al., published by Sciendo

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

Palabras clave
BOPPPS model, Cluster analysis, Hierarchical analysis method, NP algorithm, Civic education