The COVID-19 International Student Well-being Study

As a large international consortium of 26 countries and 110 higher-education institutions (HEIs), we successfully developed and executed an online student survey during or directly after the initial peak of the COVID-19 pandemic. The COVID-19 International Student Well-being Study (C19 ISWS) is a cross-sectional multicountry study that collected data on higher-education students during the COVID-19 outbreak in the spring of 2020. The dataset allows description of: (1) living conditions, financial conditions, and academic workload before and during the COVID-19 outbreak; (2) the current level of mental well-being and effects on healthy lifestyles; (3) perceived stressors; (4) resources (e.g., social support and economic capital); (5) knowledge related to COVID-19; and (6) attitudes toward COVID-19 measures implemented by the government and relevant HEI. The dataset additionally includes information about COVID-19 measures taken by the government and HEI that were in place during the period of data collection. The collected data provide a comprehensive and comparative dataset on student well-being. In this article, we present the rationale for this study, the development and content of the survey, the methodology of data collection and sampling, and the limitations of the study. In addition, we highlight the opportunities that the dataset provides for advancing social science research on student well-being during the COVID-19 pandemic in varying policy contexts. Thus far, this is, to our knowledge, the first cross-country student well-being survey during the COVID-19 pandemic, resulting in a unique dataset that enables high-priority socially relevant research.

Automated summary

The study conducted by a large international consortium of 26 countries and 110 higher-education institutions involved an online student survey during or after the initial peak of the COVID-19 pandemic. The survey dataset collected data on students' living conditions, financial status, academic workload, mental well-being, stressors, resources, knowledge and attitudes related to COVID-19, providing a comprehensive dataset for comparative analysis of student well-being.