Relationship between Family Socioeconomic Status and Online Education Usage: a Data Analysis Based on K-12 Students

In this study, we explore how socioeconomic status (SES) is associated with engagement in online education among K-12 students during the COVID-19 pandemic. Based on data from the 2022 Programme of International Student Assessment, a regression analysis was used to examine the effect of household income, parental education and technology access on students’ online learning engagement. SES factors explain 48% of the variance in the dependent internet use variable, access to computer (β =0.42) and household income(β=0.55) are statistically significant predictors. Students from higher-SES families showed substantially greater engagement scores (mean = 5.4), than did students from lower-SES families (mean = 3.1, p <0.001). The study finds that reducing this digital divide is essential for mitigating educational inequalities and recommends targeted policy interventions such as affordable access to the internet, as well as increased parental support.

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Publication Details

Journal
Journal of Educational Research and Practice.
Published
2024-11-15
DOI
https://doi.org/10.70376/jerp.v2i3.205
Citations
1
Primary Topic
Education and Learning Interventions
Type
article
Field-Weighted Citation Impact
0.78
Controls
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article

Relationship between Family Socioeconomic Status and Online Education Usage: a Data Analysis Based on K-12 Students

Anqi Chen
1 citations
Journal of Educational Research and Practice.
Education and Learning Interventions
0.78
article

Relationship between Family Socioeconomic Status and Online Education Usage: a Data Analysis Based on K-12 Students

Anqi Chen
article en
1 citations

Abstract

In this study, we explore how socioeconomic status (SES) is associated with engagement in online education among K-12 students during the COVID-19 pandemic. Based on data from the 2022 Programme of International Student Assessment, a regression analysis was used to examine the effect of household income, parental education and technology access on students’ online learning engagement. SES factors explain 48% of the variance in the dependent internet use variable, access to computer (β =0.42) and household income(β=0.55) are statistically significant predictors. Students from higher-SES families showed substantially greater engagement scores (mean = 5.4), than did students from lower-SES families (mean = 3.1, p <0.001). The study finds that reducing this digital divide is essential for mitigating educational inequalities and recommends targeted policy interventions such as affordable access to the internet, as well as increased parental support.

Journal of Educational Research and Practice.Vol. 2(3)
Education University of Hong Kong (HK)
No poverty
Openalex Percentile: Top 19%
Education and Learning Interventions
0.78
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