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基于灰色关联与BP神经网络的大学生内卷成因及影响的统计分析——以长沙市高校为例 被引量:1

Statistical Analysis of Cause and Effect of Involution of College Students Based on Grey Correlation and BP Neural Network——Taking Universities in Changsha as an Example
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摘要 随着高等教育的飞速发展,高校学生之间的非理性竞争现象日益激烈,内卷现象也伴随着激烈的竞争应运而生,对大学生内卷成因及影响的研究对帮助大学生走出内卷的思想漩涡与意识困境有着重要意义.本研究以长沙市的高校大学生为研究对象,选取亲友期望、自我要求、环境影响、有限资源等16个大学生内卷的成因指标,借助因子分析对成因进行降维,并利用灰色关联获得大学生内卷的显著成因,最后运用BP神经网络从个人、学校和社会3个层面对大学生内卷所造成的影响进行综合评价.所获得的分析结果,为高校相关部门进行心理教育和学风、考风建设提供借鉴和指导. With the rapid development of higher education,the irrational competition among college students has become increasingly fierce,and the phenomenon of involution has emerged along with the fierce competition.The research on the causes and effects of involution is of great significance to help college students get out of the ideological vortex and consciousness dilemma of involution.In this study,college students in Changsha are selected as the research objects,and 16 factors including relatives’expectations,self-requirements,environmental impact and limited resources are selected to reduce the dimensions of the factors,and grey correlation is used to obtain the significant causes of college student’involution,finally,BP neural network is used to comprehensively evaluate the influence of college students’involution from the three levels of individual,school and society.The results can provide reference and guidance for relevant departments in colleges and universities to carry out psychological education and the construction of study style and examination style.
作者 柳雅婧 陈明新 李洪毅 LIU Ya-jing;CHEN Ming-xin;LI Hong-yi(College of Mathematics and Statistics,Jishou University,Jishou 416000,Hunan,China)
出处 《兰州文理学院学报(自然科学版)》 2023年第3期27-34,共8页 Journal of Lanzhou University of Arts and Science(Natural Sciences)
基金 2022年度国家级大学生创新创业训练计划项目(202210531032) 湖南省普通高等学校教学改革研究项目(HNJG20200569)。
关键词 BP神经网络 灰色关联 因子分析 内卷 BP neural network grey correlation factor analysis involution
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