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

<p>This paper briefly outlines the direction of optimization of the civic education environment, proposes a civic education resource sharing model and an incentive model for educational resource sharing using the resource sharing approach, defines the main body of resource sharing, and establishes a model of the incentive system with students as the main body. Analyze the symbolic meaning of the model and propose the assumption of an educational resource incentive. Combine the revenue maximization function, participation constraints, and incentive constraints to form the incentive model. Using the decision tree algorithm of data mining technology for student participation behavior mining, we get the overall participation average score of undergraduate group cooperative learning, which is 3.576, the overall level of involvement is moderately high. The grade level trend of undergraduate group cooperative learning participation is freshman>fourth year>three years>sophomore years. Combined with the simulation results of the incentive model to analyze the role of the incentive model on the behavioral input of student engagement, the standard error of regression of the teaching incentive of the educational environment of the Civics class on student engagement behavior is 0.473, and the overall mean of the teaching incentive perceived by the students is 3.77, which indicates that the incentive strategy implemented in the educational environment of the Civics class is more satisfactory to the students.</p>
</abstract>

This paper briefly outlines the direction of optimization of the civic education environment, proposes a civic education resource sharing model and an incentive model for educational resource sharing using the resource sharing approach, defines the main body of resource sharing, and establishes a model of the incentive system with students as the main body. Analyze the symbolic meaning of the model and propose the assumption of an educational resource incentive. Combine the revenue maximization function, participation constraints, and incentive constraints to form the incentive model. Using the decision tree algorithm of data mining technology for student participation behavior mining, we get the overall participation average score of undergraduate group cooperative learning, which is 3.576, the overall level of involvement is moderately high. The grade level trend of undergraduate group cooperative learning participation is freshman>fourth year>three years>sophomore years. Combined with the simulation results of the incentive model to analyze the role of the incentive model on the behavioral input of student engagement, the standard error of regression of the teaching incentive of the educational environment of the Civics class on student engagement behavior is 0.473, and the overall mean of the teaching incentive perceived by the students is 3.77, which indicates that the incentive strategy implemented in the educational environment of the Civics class is more satisfactory to the students.

A Model Study of Strategies for Optimizing the Educational Environment and Enhancing Student Engagement in Civics and Political Science Courses

Applied Mathematics and Nonlinear Sciences

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

This paper briefly outlines the direction of optimization of the civic education environment, proposes a civic education resource sharing model and an...

A Model Study of Strategies for Optimizing the Educational Environment and Enhancing Student Engagement in Civics and Political Science Courses

Data publikacji: 15 maj 2024

Zakres stron: -

Otrzymano: 14 lut 2024

Przyjęty: 18 kwi 2024

DOI: https://doi.org/10.2478/amns-2024-1086

Słowa kluczowe
Motivation model, Decision tree algorithm, Resource sharing model, Student engagement, Educational environment optimization

© 2024 Shanshan Zou et al., published by Sciendo

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

A Model Study of Strategies for Optimizing the Educational Environment and Enhancing Student Engagement in Civics and Political Science Courses

Data publikacji: 15 maj 2024

Zakres stron: -

Otrzymano: 14 lut 2024

Przyjęty: 18 kwi 2024

DOI: https://doi.org/10.2478/amns-2024-1086

Słowa kluczoweMotivation model, Decision tree algorithm, Resource sharing model, Student engagement, Educational environment optimization

© 2024 Shanshan Zou et al., published by Sciendo

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

Słowa kluczowe
Motivation model, Decision tree algorithm, Resource sharing model, Student engagement, Educational environment optimization