Widening Digital Divide: Family Investment, Digital Learning, and Educational Performance of Chinese High School Students During the COVID-19 Pandemic School Closures

Liu Yajie, Hong Liu and Ma Gaoming ()
Additional contact information
Liu Yajie: Dalian Maritime University
Hong Liu: Fudan University
Ma Gaoming: Zhejiang University

Applied Research in Quality of Life, 2023, vol. 18, issue 5, No 10, 2397-2413

Abstract: Abstract The COVID-19 pandemic and school closures highlighted the need for research examining the effects of socio-economic status and digital learning on educational performance. Based on a panel dataset from a Chinese high school during school closures in 2020, our study explored whether the digital divide widened during the pandemic. The results showed that digital learning significantly mediates the association of socio-economic status with educational performance. In contrast, the indirect effects of digital learning were not significant before the outbreak of the COVID-19 pandemic. However, these effects immediately became significant during school closures and remote education instruction during the pandemic. After the schools reopened, the indirect effects of digital learning declined or even disappeared. Our findings provide new evidence for a widening digital divide during the COVID-19 pandemic school closures.

Keywords: Digital learning; Educational performance; Family investment; COVID-19; School closures (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11482-023-10191-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:ariqol:v:18:y:2023:i:5:d:10.1007_s11482-023-10191-y

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11482

DOI: 10.1007/s11482-023-10191-y

Access Statistics for this article

Applied Research in Quality of Life is currently edited by Daniel Shek

More articles in Applied Research in Quality of Life from Springer, International Society for Quality-of-Life Studies
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().