<abstract xmlns="http://www.w3.org/1999/xhtml">
<p>Because of the lack of an assessment system for the current construction of curriculum thinking in colleges and universities, which leads to the slow promotion of thinking and teaching, this paper proposes an assessment algorithm for curriculum thinking based on the subordination matrix model. Firstly, it establishes the set of variables and the set of assessment levels of the course Civics elements; secondly, it uses the segmentation function to determine the subordination coefficients of each course Civics element and further establishes the subordination coefficient matrix; finally, it assigns the coefficients according to the weight of the importance of the course Civics elements in this assessment level and then calculates the comprehensive score of the whole course Civics system. The results show that in the case of the University of S, the main influence of “teaching effectiveness” is 0.415, followed by “teaching content” with a weight of 0.339; the overall score is 55.4, which is in the middle level. The overall rating is 55.4, which is at a medium level. Through optimizing the path of Civics education based on the subordination matrix scoring system proposed in this paper, Civics teaching is effectively visualized, the evaluation system of the construction of Civics in the college curriculum is improved, and the promotion of Civics teaching is accelerated.</p>
</abstract>

Because of the lack of an assessment system for the current construction of curriculum thinking in colleges and universities, which leads to the slow promotion of thinking and teaching, this paper proposes an assessment algorithm for curriculum thinking based on the subordination matrix model. Firstly, it establishes the set of variables and the set of assessment levels of the course Civics elements; secondly, it uses the segmentation function to determine the subordination coefficients of each course Civics element and further establishes the subordination coefficient matrix; finally, it assigns the coefficients according to the weight of the importance of the course Civics elements in this assessment level and then calculates the comprehensive score of the whole course Civics system. The results show that in the case of the University of S, the main influence of “teaching effectiveness” is 0.415, followed by “teaching content” with a weight of 0.339; the overall score is 55.4, which is in the middle level. The overall rating is 55.4, which is at a medium level. Through optimizing the path of Civics education based on the subordination matrix scoring system proposed in this paper, Civics teaching is effectively visualized, the evaluation system of the construction of Civics in the college curriculum is improved, and the promotion of Civics teaching is accelerated.

Optimization of Civic Education Paths in Universities Based on the Subordination Matrix Model

Ideological and Political Theory Teaching Department

Applied Mathematics and Nonlinear Sciences

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

Because of the lack of an assessment system for the current construction of curriculum thinking in colleges and universities, which leads to the slow promotion...

Optimization of Civic Education Paths in Universities Based on the Subordination Matrix Model

Publicado en línea: 07 ago 2023

Páginas: -

Recibido: 01 sept 2022

Aceptado: 15 feb 2023

DOI: https://doi.org/10.2478/amns.2023.2.00149

Palabras clave
Subordination coefficients, Subordination matrix, Segmentation function, Assessment level, Weight assignment

© 2023 Moli Xiong, published by Sciendo

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

Optimization of Civic Education Paths in Universities Based on the Subordination Matrix Model

Publicado en línea: 07 ago 2023

Páginas: -

Recibido: 01 sept 2022

Aceptado: 15 feb 2023

DOI: https://doi.org/10.2478/amns.2023.2.00149

Palabras claveSubordination coefficients, Subordination matrix, Segmentation function, Assessment level, Weight assignment

© 2023 Moli Xiong, published by Sciendo

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

Palabras clave
Subordination coefficients, Subordination matrix, Segmentation function, Assessment level, Weight assignment