摘要
新冠肺炎疫情的暴发对学校学生产生了巨大的影响,本文针对学生在新冠肺炎疫情期间居家学习的现状进行了研究和分析。利用K-means聚类算法和数据可视化,从学生学习、生活、身心健康情况等多角度分析新冠肺炎疫情给学生带来的影响;通过分析中国政府应对新冠肺炎疫情相关的政策文本数据,提出新冠肺炎疫情期间确保学生正常接受教育的建议,为新冠肺炎疫情下学生的身心健康成长提供参考。
The outbreak of COVID-19 has had a huge impact on students.Through K-means clustering algorithm and data visualization,an analysis of the current situation of studying at home during the epidemic from the perspectives of students'study,life,physical and mental health was proposed in this article.Finally,through the analysis of China's epidemy-related policy text data,suggestions were put forward to ensure that students receive normal education during the epidemic,to provide a reference for the physical and mental health growth of students under the epidemic.
作者
陈照照
陈晓聪
钟姿慧
金杰
Chen Zhaozhao;Chen Xiaocong;Zhong Zihui;Jin Jie(School of Electronics and Information Engineering,Taizhou University,Taizhou 318000,China)
出处
《台州学院学报》
2023年第3期43-50,共8页
Journal of Taizhou University
基金
国家级大学生创新创业训练计划项目(202210350025)。