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

<p>In this paper, the multivariate data chain network is used to obtain the lexical sequence of Civics and Political Education, which needs to be labeled considering the convenience of research and analysis. According to the C-RTT algorithm can reduce the number of synchronization time slots required for fine synchronization of Civic and Political Network Teaching, use the Transformer encoder to assign and define the model parameters, and then construct the automatic scoring model with the theme of Civic and Political Work and Student Management. Starting from the content of the research and evaluation of the Civics and Political Science Program, the research variables and measurements are determined, and the research on the evaluation of the Civics and Political Science Program in colleges and universities is designed. Initial data for research and analysis are obtained by distributing questionnaires, and simulation analysis and statistical analysis are used to empirically analyze the Civics education combined with a multivariate data chain network. The results show that on the model analysis, the P value of the model in this paper can be up to 80.6, the R value can be up to 85.7%, the F1 value can be up to 83.2%, and the accuracy rate can be up to 82.4%, and the automatic scoring model with the theme of Civic and Political Work and Student Management has achieved good results. On the analysis of the Civics course, the mean values of the seven topics of student management are in the range of 3.78-4.18, and the standard deviations are all greater than 0.84. This study skillfully applies the theory of Civics to student management and ultimately helps the students to establish the correct three views.</p>
</abstract>

In this paper, the multivariate data chain network is used to obtain the lexical sequence of Civics and Political Education, which needs to be labeled considering the convenience of research and analysis. According to the C-RTT algorithm can reduce the number of synchronization time slots required for fine synchronization of Civic and Political Network Teaching, use the Transformer encoder to assign and define the model parameters, and then construct the automatic scoring model with the theme of Civic and Political Work and Student Management. Starting from the content of the research and evaluation of the Civics and Political Science Program, the research variables and measurements are determined, and the research on the evaluation of the Civics and Political Science Program in colleges and universities is designed. Initial data for research and analysis are obtained by distributing questionnaires, and simulation analysis and statistical analysis are used to empirically analyze the Civics education combined with a multivariate data chain network. The results show that on the model analysis, the P value of the model in this paper can be up to 80.6, the R value can be up to 85.7%, the F1 value can be up to 83.2%, and the accuracy rate can be up to 82.4%, and the automatic scoring model with the theme of Civic and Political Work and Student Management has achieved good results. On the analysis of the Civics course, the mean values of the seven topics of student management are in the range of 3.78-4.18, and the standard deviations are all greater than 0.84. This study skillfully applies the theory of Civics to student management and ultimately helps the students to establish the correct three views.

Exploring Collaborative Parenting Strategies for Civics and Student Management in Colleges and Universities Using Multiple Data Chain Networks

Applied Mathematics and Nonlinear Sciences

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

In this paper, the multivariate data chain network is used to obtain the lexical sequence of Civics and Political Education, which needs to be labeled...

Exploring Collaborative Parenting Strategies for Civics and Student Management in Colleges and Universities Using Multiple Data Chain Networks

Online veröffentlicht: 02. Dez. 2023

Seitenbereich: -

Eingereicht: 23. Dez. 2022

Akzeptiert: 12. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01322

Schlüsselwörter
Multivariate data chain network, C-RRT algorithm, Transformer encoder, Civic work, Student management, Automatic scoring models

© 2023 Zengqiang Kong et al., published by Sciendo

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

Exploring Collaborative Parenting Strategies for Civics and Student Management in Colleges and Universities Using Multiple Data Chain Networks

Online veröffentlicht: 02. Dez. 2023

Seitenbereich: -

Eingereicht: 23. Dez. 2022

Akzeptiert: 12. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01322

SchlüsselwörterMultivariate data chain network, C-RRT algorithm, Transformer encoder, Civic work, Student management, Automatic scoring models

© 2023 Zengqiang Kong et al., published by Sciendo

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

Schlüsselwörter
Multivariate data chain network, C-RRT algorithm, Transformer encoder, Civic work, Student management, Automatic scoring models