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 inJournal of computational methods in sciences and engineering Vol. 23; no. 6; pp. 3093 - 3102
Main Author Wang, Chen
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 15.12.2023
Sage Publications Ltd
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ISSN1472-7978
1875-8983
DOI10.3233/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.
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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10.3390/su141912925
10.3390/su12093736
10.1016/j.mayocp.2020.07.002
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10.3390/su10061921
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10.1016/j.jclepro.2019.01.290
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10.1111/medu.14541
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SubjectTerms Algorithms
Back propagation networks
Colleges & universities
Data processing
Education
Ideology
Information literacy
Information technology
Quality assessment
Title Teaching quality evaluation of college civic and political science courses based on BP neural algorithm
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