College Students’ Degree of Support for Online Learning during the COVID-19 Pandemic and Associated Factors: A Cross-Sectional Study

Xincheng Huang, Yuqian Deng, Pu Ge, Xiaonan Sun, Mengjie Huang, Hejie Chen, Yanyan Wang, Baojun Suo (), Zhiqiang Song () and Yibo Wu
Additional contact information
Xincheng Huang: School of Economics and Management, Beijing Institute of Graphic Communication, Beijing 102600, China
Yuqian Deng: Xiangya School of Nursing, Central South University, Changsha 410008, China
Pu Ge: Institute of Chinese Medical Sciences, University of Macau, Macao 999078, China
Xiaonan Sun: Department of Social Science and Humanities, Harbin Medical University, Harbin 150081, China
Mengjie Huang: School of Public Health, Shandong University, Jinan 250012, China
Hejie Chen: School of Economics and Management, Beijing Institute of Graphic Communication, Beijing 102600, China
Yanyan Wang: School of Economics and Management, Beijing Institute of Graphic Communication, Beijing 102600, China
Baojun Suo: Department of Gastroenterology, Peking University Third Hospital, Beijing 100191, China
Zhiqiang Song: Department of Gastroenterology, Peking University Third Hospital, Beijing 100191, China
Yibo Wu: School of Public Health, Peking University, Beijing 100871, China

IJERPH, 2022, vol. 19, issue 24, 1-16

Abstract: Background: Educational institutions worldwide have experienced the suspension of offline teaching activities in favor of online teaching due to the outbreak of the COVID-19 pandemic. However, few studies have focused on the degree of support for online learning among college students in mainland China. Therefore, the aim of this study was to investigate the degree of support for online learning among Chinese college students during the epidemic and whether depression, loneliness, family communication, and social support were associated factors. Methods: A questionnaire was used to collect cross-sectional data from 9319 college students in mainland China, and a structural equation model was analyzed. Results: The results of the study showed high degrees of support for online learning among Chinese college students during the COVID-19 pandemic, with more than half expressing support. The SEM (Structural Equation Modeling) results showed that depression had a negative and significant effect on college students’ support for online learning (β = −0.07; p < 0.001); family communication had a positive and significant effect on college students’ support for online learning (β = 0.09; p < 0.001); social support had a positive and significant effect on college students’ support for online learning (β = 0.11; p < 0.001). Conclusions: Social support and family communication can alleviate the negative psychological status of college students, and depression plays a mediating role in the effect of social support and family communication on college students’ degree of support for online learning. In addition, a significant chain-mediating effect was found of family communication, loneliness, and depression between social support and college students’ degree of support for online learning. Government and education institutions must focus on college students’ mental health issues and consider family interventions and general support that college students require.

Keywords: family communication; online learning; social support; negative status; college students; COVID-19; SEM; coronavirus disease 2019 (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/24/16814/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/24/16814/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:24:p:16814-:d:1003581

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().