Teaching quality evaluation of college civic and political science courses based on BP neural algorithm
Constructing the evaluation system of ideological and political education of new media in colleges is both beneficial to evaluate the established ideological and political education work and an important guide to improve the corresponding work. At present, promoting ideological and political educati...
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| Published in | Journal of computational methods in sciences and engineering Vol. 23; no. 6; pp. 3093 - 3102 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
London, England
SAGE Publications
15.12.2023
Sage Publications Ltd |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1472-7978 1875-8983 |
| DOI | 10.3233/JCM-226935 |
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| Abstract | Constructing the evaluation system of ideological and political education of new media in colleges is both beneficial to evaluate the established ideological and political education work and an important guide to improve the corresponding work. At present, promoting ideological and political education work with high integration of information technology has become an important way of ideological and political education work in colleges. However, the theoretical circles are still not focused enough on how to evaluate the ideological and political education work in colleges. Based on the characteristics of the information age, this paper establishes the teaching quality evaluation system of ideological and political education courses in colleges, introduces BP neural network evaluation method, and obtains strong empirical support through simulation experiments, so as to build a feasible teaching quality evaluation model of ideological and political courses in colleges. At the same time, the corresponding optimization suggestions are put forward, including improving the relevance of ideological and political education work, dynamically grasping students’ ideological and political information and doing a good job of data processing, and improving the professional information literacy of the ideological and political work team, in order to provide some reference for the efficient development of ideological and political education work in colleges. |
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| AbstractList | Constructing the evaluation system of ideological and political education of new media in colleges is both beneficial to evaluate the established ideological and political education work and an important guide to improve the corresponding work. At present, promoting ideological and political education work with high integration of information technology has become an important way of ideological and political education work in colleges. However, the theoretical circles are still not focused enough on how to evaluate the ideological and political education work in colleges. Based on the characteristics of the information age, this paper establishes the teaching quality evaluation system of ideological and political education courses in colleges, introduces BP neural network evaluation method, and obtains strong empirical support through simulation experiments, so as to build a feasible teaching quality evaluation model of ideological and political courses in colleges. At the same time, the corresponding optimization suggestions are put forward, including improving the relevance of ideological and political education work, dynamically grasping students’ ideological and political information and doing a good job of data processing, and improving the professional information literacy of the ideological and political work team, in order to provide some reference for the efficient development of ideological and political education work in colleges. |
| Author | Wang, Chen |
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| Cites_doi | 10.1109/ACCESS.2022.3198082 10.3390/su141912925 10.3390/su12093736 10.1016/j.mayocp.2020.07.002 10.1080/0142159X.2021.1901869 10.3390/su10061921 10.1016/j.jclepro.2020.121959 10.3390/su14010471 10.1080/02602938.2021.1887080 10.3390/electronics11070973 10.1097/ACM.0000000000003696 10.1016/j.jclepro.2019.01.290 10.1097/ACM.0000000000002726 10.1111/medu.14541 10.3390/su132011401 |
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| Keywords | teaching quality Ideological and political education evaluation BP neural network |
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| Title | Teaching quality evaluation of college civic and political science courses based on BP neural algorithm |
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