COVID-19, the disease caused by the novel coronavirus (SARS-CoV-2), was first found in Wuhan, China late in the December of 2019. Not long after that the virus spread worldwide and was declared a pandemic by the World Health Organization in March 2020. This caused many changes around the world and in the United States. One of these changes was the shift towards online learning. In this paper, we seek to understand how the COVID-19 pandemic and online learning impact college students' emotional wellbeing. To do this we use several machine learning and statistical models to analyze data collected by the Faculty of Public Administration at the University of Ljubljana, Slovenia in conjunction with an international consortium of universities, other higher education institutions and students' associations. Our results indicate that learning modality (face-to-face, online synchronous, online asynchronous, etc.) is the main predictor of students' emotional wellbeing, followed by financial security. Factors such as satisfaction with their university's and government's handling of the pandemic are also important predictors.
翻译:COVID-19是新型冠状病毒(SARS-COV-2)引起的疾病,2019年12月下旬在中国武汉首次发现。此后不久,该病毒在全世界蔓延,世界卫生组织于2020年3月宣布为大流行病。这在世界各地和美国造成了许多变化。其中之一是向在线学习的转变。在本文中,我们试图了解COVID-19大流行和在线学习对大学生情感福祉的影响。为了做到这一点,我们使用若干机器学习和统计模型分析斯洛文尼亚卢布尔雅那大学公共行政学院与国际大学、其他高等教育机构和学生协会联合会共同收集的数据。我们的结果表明,学习方式(面对面、在线同步、在线无节奏等)是学生情感福祉的主要预测者,随后是财政保障。诸如对大学满意度和政府对大流行病的处理等因素也是重要的预测者。