Haider Ahmad S, Al-Salman Saleh
Applied Science Private University, Jordan.
Data Brief. 2020 Jul 31;32:106104. doi: 10.1016/j.dib.2020.106104. eCollection 2020 Oct.
A dataset was compiled to examine the psychosomatic impact of COVID-19's e-learning digital tools on Jordanian university students' well-being. In response to the state of emergency imposed by COVID-19, Jordanian universities switched to the online learning model as an alternative to traditional face-to-face education. The researchers designed a questionnaire that consists of two main sections; the first section included demographic information including gender, level/year, age, and cumulative average (GPA). The second section comprised five main constructs: (1) use of digital tools (mobile phone, laptop, i-pad) before and after COVID-19, (2) sleeping habits before and after COVID-19, (3) social interaction, (4) psychological state, and (5) academic performance. The researchers contacted different instructors teaching compulsory courses at four public and private universities and asked them to distribute the electronic questionnaire. Using the snowball sampling method, the questionnaire was delivered to students studying at the selected universities, and a total of 775 responses were received. The data were analyzed according to Likert's five-point scale, where frequencies and percentages were calculated. The data will be useful for researchers interested in studying the relationship between the e-learning model and psychosomatic disorders. Policymakers can use the data to identify university students' emotional and psychological needs and propose practical solutions for their educational well-being.
为研究新冠疫情期间电子学习数字工具对约旦大学生身心健康的影响,编制了一个数据集。为应对新冠疫情引发的紧急状态,约旦各大学转向在线学习模式,以替代传统的面对面教育。研究人员设计了一份问卷,问卷由两个主要部分组成;第一部分包括人口统计学信息,包括性别、年级、年龄和平均绩点(GPA)。第二部分包含五个主要结构:(1)新冠疫情前后数字工具(手机、笔记本电脑、iPad)的使用情况,(2)新冠疫情前后的睡眠习惯,(3)社交互动,(4)心理状态,以及(5)学业成绩。研究人员联系了四所公立和私立大学中教授必修课的不同教师,并请他们分发电子问卷。采用滚雪球抽样法,将问卷发放给所选大学的学生,共收到775份回复。根据李克特五点量表对数据进行分析,计算频率和百分比。这些数据将对研究电子学习模式与身心障碍之间关系的研究人员有用。政策制定者可以利用这些数据确定大学生的情感和心理需求,并为他们的教育福祉提出切实可行的解决方案。