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 inComputational intelligence and neuroscience Vol. 2022; pp. 1 - 14
Main Authors Yang, Fan, Rao, Yutai, Wu, Ke, Wang, Gang, Bao, Yi, Liu, Cuiling
Format Journal Article
LanguageEnglish
Published United States Hindawi 09.08.2022
John Wiley & Sons, Inc
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Online AccessGet full text
ISSN1687-5265
1687-5273
1687-5273
DOI10.1155/2022/3596665

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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.
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
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ContentType Journal Article
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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– notice: COPYRIGHT 2022 John Wiley & Sons, Inc.
– notice: 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
– notice: Copyright © 2022 Fan Yang et al. 2022
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Snippet The ideological and political collaborative education mechanism is an important course teaching method that uses all courses as a carrier to cultivate...
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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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