Construction of Curriculum Ideological and Political Collaborative Education Mechanism Based on Edge Computing and Neural Network Algorithm
The ideological and political collaborative education mechanism is an important course teaching method that uses all courses as a carrier to cultivate students' all-round development in morality, intelligence, physique, and beauty. The purpose of this paper is to conduct a better research on th...
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          | Published in | Computational intelligence and neuroscience Vol. 2022; pp. 1 - 14 | 
|---|---|
| Main Authors | , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        United States
          Hindawi
    
        09.08.2022
     John Wiley & Sons, Inc  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1687-5265 1687-5273 1687-5273  | 
| DOI | 10.1155/2022/3596665 | 
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| Abstract | The ideological and political collaborative education mechanism is an important course teaching method that uses all courses as a carrier to cultivate students' all-round development in morality, intelligence, physique, and beauty. The purpose of this paper is to conduct a better research on the construction of the ideological and political collaborative education mechanism by building models based on edge computing and neural network algorithm. This paper first gave a general introduction to edge computing and neural network algorithm and then analyzed the current situation of ideological and political courses in a certain school. Then, edge computing and neural network algorithm were introduced into the analysis of an important course teaching method that used all courses as a carrier to cultivate students’ comprehensive development in morality, intelligence, physique, and beauty. The BP neural network model was established. Through analysis and comparison, the experimental results showed that 56.47% of the students believed that the impact of personal morality on the future development of college students was the first in the relationship between “virtue” and “talent.” More than half of the students believed that the “virtue” of building morality and cultivating people was mainly civic morality, and about 30% of the students thought that the main value was loving the party and patriotism, which meant that most students believed that the main value of building morality and cultivating people was to establish morality. | 
    
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| AbstractList | The ideological and political collaborative education mechanism is an important course teaching method that uses all courses as a carrier to cultivate students' all-round development in morality, intelligence, physique, and beauty. The purpose of this paper is to conduct a better research on the construction of the ideological and political collaborative education mechanism by building models based on edge computing and neural network algorithm. This paper first gave a general introduction to edge computing and neural network algorithm and then analyzed the current situation of ideological and political courses in a certain school. Then, edge computing and neural network algorithm were introduced into the analysis of an important course teaching method that used all courses as a carrier to cultivate students’ comprehensive development in morality, intelligence, physique, and beauty. The BP neural network model was established. Through analysis and comparison, the experimental results showed that 56.47% of the students believed that the impact of personal morality on the future development of college students was the first in the relationship between “virtue” and “talent.” More than half of the students believed that the “virtue” of building morality and cultivating people was mainly civic morality, and about 30% of the students thought that the main value was loving the party and patriotism, which meant that most students believed that the main value of building morality and cultivating people was to establish morality. The ideological and political collaborative education mechanism is an important course teaching method that uses all courses as a carrier to cultivate students' all-round development in morality, intelligence, physique, and beauty. The purpose of this paper is to conduct a better research on the construction of the ideological and political collaborative education mechanism by building models based on edge computing and neural network algorithm. This paper first gave a general introduction to edge computing and neural network algorithm and then analyzed the current situation of ideological and political courses in a certain school. Then, edge computing and neural network algorithm were introduced into the analysis of an important course teaching method that used all courses as a carrier to cultivate students' comprehensive development in morality, intelligence, physique, and beauty. The BP neural network model was established. Through analysis and comparison, the experimental results showed that 56.47% of the students believed that the impact of personal morality on the future development of college students was the first in the relationship between "virtue" and "talent." More than half of the students believed that the "virtue" of building morality and cultivating people was mainly civic morality, and about 30% of the students thought that the main value was loving the party and patriotism, which meant that most students believed that the main value of building morality and cultivating people was to establish morality.The ideological and political collaborative education mechanism is an important course teaching method that uses all courses as a carrier to cultivate students' all-round development in morality, intelligence, physique, and beauty. The purpose of this paper is to conduct a better research on the construction of the ideological and political collaborative education mechanism by building models based on edge computing and neural network algorithm. This paper first gave a general introduction to edge computing and neural network algorithm and then analyzed the current situation of ideological and political courses in a certain school. Then, edge computing and neural network algorithm were introduced into the analysis of an important course teaching method that used all courses as a carrier to cultivate students' comprehensive development in morality, intelligence, physique, and beauty. The BP neural network model was established. Through analysis and comparison, the experimental results showed that 56.47% of the students believed that the impact of personal morality on the future development of college students was the first in the relationship between "virtue" and "talent." More than half of the students believed that the "virtue" of building morality and cultivating people was mainly civic morality, and about 30% of the students thought that the main value was loving the party and patriotism, which meant that most students believed that the main value of building morality and cultivating people was to establish morality.  | 
    
| Audience | Academic | 
    
| Author | Wang, Gang Rao, Yutai Yang, Fan Wu, Ke Bao, Yi Liu, Cuiling  | 
    
| AuthorAffiliation | 1 Software Engineering Institute, Hubei Open University, Wuhan 430074, Hubei, China 4 Teaching Quality Management and Evaluation Center, Hubei Science and Technology College, Wuhan 430074, Hubei, China 6 Educational Technology Center, Hubei Science and Technology College, Wuhan 430074, Hubei, China 3 Teaching Quality Management and Evaluation Center, Hubei Open University, Wuhan 430074, Hubei, China 2 Software Engineering Institute, Hubei Science and Technology College, Wuhan 430074, Hubei, China 5 Educational Technology Center, Hubei Open University, Wuhan 430074, Hubei, China  | 
    
| AuthorAffiliation_xml | – name: 5 Educational Technology Center, Hubei Open University, Wuhan 430074, Hubei, China – name: 2 Software Engineering Institute, Hubei Science and Technology College, Wuhan 430074, Hubei, China – name: 4 Teaching Quality Management and Evaluation Center, Hubei Science and Technology College, Wuhan 430074, Hubei, China – name: 3 Teaching Quality Management and Evaluation Center, Hubei Open University, Wuhan 430074, Hubei, China – name: 6 Educational Technology Center, Hubei Science and Technology College, Wuhan 430074, Hubei, China – name: 1 Software Engineering Institute, Hubei Open University, Wuhan 430074, Hubei, China  | 
    
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35983146$$D View this record in MEDLINE/PubMed | 
    
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| Cites_doi | 10.32629/jher.v3i1.644 10.1109/tii.2019.2916689 10.54216/fpa.020101 10.1109/mnet.2018.1700163 10.1109/mcom.2017.1700385 10.1109/comst.2017.2705720 10.1002/hed.26897 10.4236/ce.2021.122022 10.1109/mcomstd.2018.1800013 10.32629/jher.v3i1.641 10.1109/mcom.2018.1700795 10.1155/2021/8204214 10.1590/1517-8692202127042021_0117 10.4018/joeuc.2020100103 10.3233/jifs-189344 10.54216/jisiot.000204 10.1109/mc.2017.9 10.1109/mc.2017.3641649 10.1038/s41598-021-03019-y 10.1109/mic.2018.022021657 10.1109/mnet.2018.1700202 10.1109/jiot.2021.3056128 10.1109/mcom.2018.1700882 10.1121/1.5045322 10.1109/mnet.2018.1700146 10.1155/2021/5690868 10.1016/j.jpdc.2018.08.011 10.1155/2021/3605739  | 
    
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| Copyright | Copyright © 2022 Fan Yang et al. COPYRIGHT 2022 John Wiley & Sons, Inc. Copyright © 2022 Fan Yang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 Copyright © 2022 Fan Yang et al. 2022  | 
    
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| SubjectTerms | Algorithms Analysis Back propagation networks Brain research China Collaboration College students Colleges & universities Construction Curricula Curriculum Edge computing Education Humans Ideology Information processing Intelligence Learning Morality Neural networks Neural Networks, Computer Neurons Political theory Students Teaching  | 
    
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| Title | Construction of Curriculum Ideological and Political Collaborative Education Mechanism Based on Edge Computing and Neural Network Algorithm | 
    
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