Cargando…
Different Coping Patterns among US Graduate and Undergraduate Students during COVID-19 Pandemic: A Machine Learning Approach
COVID-19 caused unprecedented disruptions to regular university operations worldwide. Dealing with 100% virtual classrooms and suspension of essential in-person activities resulted in significant stress and anxiety for students coping with isolation, fear, and uncertainties in their academic careers...
Autores principales: | Zhao, Yijun, Ding, Yi, Shen, Yangqian, Failing, Samuel, Hwang, Jacqueline |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8878508/ https://www.ncbi.nlm.nih.gov/pubmed/35206617 http://dx.doi.org/10.3390/ijerph19042430 |
Ejemplares similares
-
Gender Difference in Psychological, Cognitive, and Behavioral Patterns Among University Students During COVID-19: A Machine Learning Approach
por: Zhao, Yijun, et al.
Publicado: (2022) -
Mental health and coping strategies in graduate students in the
COVID-19 pandemic
por: Scorsolini-Comin, Fabio, et al.
Publicado: (2021) -
Mental health of US undergraduate and graduate students before and during the COVID-19 pandemic: Differences across sociodemographic groups
por: Liu, Yuchen, et al.
Publicado: (2022) -
Frequency, Method, Intensity, and Health Sequelae of Sexual Choking Among U.S. Undergraduate and Graduate Students
por: Herbenick, Debby, et al.
Publicado: (2022) -
Student adaptation to college and coping in relation to adjustment during COVID-19: A machine learning approach
por: Zhao, Yijun, et al.
Publicado: (2022)