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<p>How to effectively combine students’ behavioral characteristics and put forward an innovative civic education model is an important content of the current civic education module. In this paper, we collect relevant data from three aspects of students’ consumption, learning, and life behavioral characteristics and preprocess the data. Based on the data on students’ behavioral characteristics, a student profile is established, and a collection of their behavioral characteristics is constructed. Then, the entropy weight method is used to determine the weight value of each student’s behavioral characteristic, establish the stratification of student behavioral characteristics, and construct a model of student behavioral characteristics. In the student behavioral characteristic analysis, the students of University B in Guangdong Province, China, are used as the research object to develop the student behavioral characteristic analysis. In the cluster analysis of consumption behavior, 28% of students with low consumption levels may be experiencing economic poverty. During the winter and summer vacations, there was a decrease in the number of books borrowed, students entering the library, and seat borrowing appointments. The number of students who spent 14 hours a week on the internet and the frequency of accessing it more than three times was 62.01% and 89.76%, respectively. The average value of learning behaviors, except for information use behavior, is below 3.5, which is below average. Finally, by analyzing students’ behavioral characteristics, an innovative mode of civic education is proposed, which provides practical references to guarantee the creative development of civic education.</p>
</abstract>

How to effectively combine students’ behavioral characteristics and put forward an innovative civic education model is an important content of the current civic education module. In this paper, we collect relevant data from three aspects of students’ consumption, learning, and life behavioral characteristics and preprocess the data. Based on the data on students’ behavioral characteristics, a student profile is established, and a collection of their behavioral characteristics is constructed. Then, the entropy weight method is used to determine the weight value of each student’s behavioral characteristic, establish the stratification of student behavioral characteristics, and construct a model of student behavioral characteristics. In the student behavioral characteristic analysis, the students of University B in Guangdong Province, China, are used as the research object to develop the student behavioral characteristic analysis. In the cluster analysis of consumption behavior, 28% of students with low consumption levels may be experiencing economic poverty. During the winter and summer vacations, there was a decrease in the number of books borrowed, students entering the library, and seat borrowing appointments. The number of students who spent 14 hours a week on the internet and the frequency of accessing it more than three times was 62.01% and 89.76%, respectively. The average value of learning behaviors, except for information use behavior, is below 3.5, which is below average. Finally, by analyzing students’ behavioral characteristics, an innovative mode of civic education is proposed, which provides practical references to guarantee the creative development of civic education.

Discussion on the Innovative Mode of Civic and Political Education by Integrating Students’ Behavioural Characteristics

Guangdong University of Science and Technology

Applied Mathematics and Nonlinear Sciences

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

How to effectively combine students’ behavioral characteristics and put forward an innovative civic education model is an important content of the current...

Discussion on the Innovative Mode of Civic and Political Education by Integrating Students’ Behavioural Characteristics

Online veröffentlicht: 02. Juli 2024

Seitenbereich: -

Eingereicht: 20. Feb. 2024

Akzeptiert: 13. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1566

Schlüsselwörter
Student behavioral characteristics, Civic education, Entropy power method, Student portrait

© 2024 Dandan Xu., published by Sciendo

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

Discussion on the Innovative Mode of Civic and Political Education by Integrating Students’ Behavioural Characteristics

Online veröffentlicht: 02. Juli 2024

Seitenbereich: -

Eingereicht: 20. Feb. 2024

Akzeptiert: 13. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1566

SchlüsselwörterStudent behavioral characteristics, Civic education, Entropy power method, Student portrait

© 2024 Dandan Xu., published by Sciendo

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

Schlüsselwörter
Student behavioral characteristics, Civic education, Entropy power method, Student portrait