Zoom fatigue and its risk factors in online learning during the COVID-19 pandemic
Zoom fatigue and its risk factors in online learning during the COVID-19 pandemic
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DOI：
10.13181/mji.oa.225703
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发表时间：
2022-03-01
影响因子：
0.5
通讯作者：
Wibisono, Maria Georgina
中科院分区：
文献类型：
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作者：
Salim, Jonathan;Tandy, Sutiono;Wibisono, Maria Georgina
由于COVID-19的高传播、传染性和死亡率，全球各国都执行了严格的卫生协议。随着在线学习和视频会议的增加，就业和教育部门正在转向以家庭为基础的活动。视频会议作为一种通信媒介已经潜移默化地导致了变焦疲劳。本研究旨在分析变焦疲劳的危险因素，以便早期预防和治疗。方法采用目的抽样方法，于2021年7月对335名印尼大学生进行横断面研究。使用人口统计问卷收集数据，包括COVID-19大流行期间的在线课程时长；匹兹堡睡眠质量指数；抑郁、焦虑和压力量表-21；通过社交媒体和学生论坛分发的谷歌表格（谷歌LLC， USA）缩放和疲劳疲劳（ZEF）量表。采用关联检验和相关检验，并采用线性回归建立模型。结果受访者年龄为21.3（1.8）岁，在线课程学习时间为12.8（5.1）个月，ZEF量表为2.8（0.9）。ZEF较高的学生体育锻炼不规律，睡眠质量较差，视频会议时间较长，在COVID-19大流行期间的课程时间较长，精神疾病（即压力、焦虑和抑郁）发生率较高。吸烟与疲劳负相关（r = -0.12）。ZEF模型对变焦疲劳(p
BACKGROUND Global nations have enforced strict health protocols because of the COVID-19's high transmission, infectivity, and mortality. As shown by increased online learning and video conferencing, the employment and education sectors are shifting to home-based activities. Video conferencing as a communication medium has subtly led to zoom fatigue. This study aimed to analyze the risk factors of zoom fatigue for early prevention and treatment.METHODS This cross-sectional study was conducted on 335 Indonesian university students selected by purposive sampling in July 2021. Data were collected using a demographic questionnaire including online courses duration during the COVID-19 pandemic; Pittsburgh sleep quality index; depression, anxiety and stress scale-21; and zoom & exhaustion fatigue (ZEF) scale through Google Form (Google LLC, USA) distributed via social media and student forums. Association and correlation tests were used, and the model was developed using linear regression.RESULTS The respondents were aged 21.3 (1.8) years with 12.8 (5.1) months of online courses during the COVID-19 pandemic and a ZEF scale of 2.8 (0.9). Students with higher ZEF had irregular physical exercise, poorer sleep quality, longer video conferencing sessions, longer months of courses during the COVID-19 pandemic, and higher mental illness (i.e., stress, anxiety, and depression). Smoking negatively correlated with fatigue (r = -0.12). The model for ZEF showed good predictability for zoom fatigue (p