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基于边缘计算和神经网络算法的课程思政协同教育机制的构建。

Construction of Curriculum Ideological and Political Collaborative Education Mechanism Based on Edge Computing and Neural Network Algorithm.

机构信息

Software Engineering Institute, Hubei Open University, Wuhan 430074, Hubei, China.

Software Engineering Institute, Hubei Science and Technology College, Wuhan 430074, Hubei, China.

出版信息

Comput Intell Neurosci. 2022 Aug 9;2022:3596665. doi: 10.1155/2022/3596665. eCollection 2022.

DOI:10.1155/2022/3596665
PMID:35983146
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9381229/
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.

摘要

思想政治协同教育机制是以所有课程为载体,培养学生德智体美全面发展的重要课程教学方法。本文旨在通过基于边缘计算和神经网络算法构建模型,对思想政治协同教育机制的构建进行更好的研究。本文首先对边缘计算和神经网络算法进行了概述,然后分析了某学校思想政治课程的现状。然后,将边缘计算和神经网络算法引入到以所有课程为载体培养学生德智体美全面发展的重要课程教学方法的分析中。建立了 BP 神经网络模型。通过分析比较,实验结果表明,56.47%的学生认为个人道德对大学生未来发展的影响在“德”与“才”的关系中排名第一。超过一半的学生认为“立德”“树人”的道德修养主要是公民道德,约 30%的学生认为主要价值是爱党爱国,这意味着大多数学生认为“立德”“树人”的主要价值在于树立道德。

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