Analysis of College Students’ psychological Anxiety and Its Causes under COVID-19

M. Wu, Hongge Zhao, Yun Guo
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引用次数: 4

Abstract

Due to the global outbreak of COVID-19, universities have postponed the commencement of 2020 spring semester and adopted online learning when students and staff are self-quarantined at home. In this paper, SAS(Self-Rating Anxiety Scale) was used to evaluate and analyze students’ anxiety in one of the Top 20 universities in China. A total of 3,611 valid questionnaires from 34 provincial administrative regions and Taiwan in China were collected. FP-Growth was used to mine association rules for the scores of each item in SAS. K-Means was adopted to divide all samples into three categories and analyze the scoring characteristics of each SAS item in each category. Based on BiLSTM, a Chinese sentiment analysis model was constructed to analyze the text data. The results show that the average scores of the forward scoring items were relatively high. For the anxious samples, there were fewer arms and legs tingling, arms and legs trembling and syncope. The main causes of anxiety among college students included online learning and epidemic diseases.
新冠肺炎疫情下大学生心理焦虑及其原因分析
受新冠肺炎全球疫情影响,各高校推迟2020年春季学期开学,在学生和教职员工居家自我隔离的情况下,实行在线学习。本文采用焦虑自评量表SAS(Self-Rating Anxiety Scale)对某国内排名前20的高校学生的焦虑进行了评价和分析。共收集了来自中国34个省级行政区和台湾地区的3611份有效问卷。采用FP-Growth算法挖掘SAS中各题得分的关联规则。采用K-Means将所有样本分为三类,分析每一类中每个SAS项目的得分特征。基于BiLSTM,构建中文情感分析模型对文本数据进行分析。结果表明:前向得分项的平均得分较高;对于焦虑的样本,手臂和腿部刺痛,手臂和腿部颤抖和晕厥的情况较少。大学生焦虑的主要原因包括网络学习和传染病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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