Home and school factors associated with math trajectories before and after COVID-19 in Ghana

While the COVID-19 pandemic had well-documented short-term consequences for children's learning, less is known about longer-term academic trajectories. Using a longitudinal sample of Ghanaian children (2015-2024; N = 2,901; Mages = 5.1-13.2 years; 49.3% female), this study employed a piecewise latent growth curve approach to examine math trajectories before, during, and after the pandemic and examined whether 6 risk and protective factors explained interindividual variability in trajectories. Findings show that math growth slowed significantly during school closures, with partial recovery afterward. Wealthier households, cognitively stimulating caregiving, and private school attendance were protective. Findings regarding risk factors were less conclusive. The study highlights the lasting educational consequences of widespread crises and points to specific protective factors that can sustain math learning.

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Publication Details

Journal
Child Development
Published
2026-03-03
DOI
https://doi.org/10.1093/chidev/aacag018
Primary Topic
COVID-19 and Mental Health
Type
article
Field-Weighted Citation Impact
0.00
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article

Home and school factors associated with math trajectories before and after COVID-19 in Ghana

Elisabetta Aurino, Emily M. Weiss, Sharon Wolf, Richard Appiah et al.
Child Development
COVID-19 and Mental Health
article

Home and school factors associated with math trajectories before and after COVID-19 in Ghana

Elisabetta Aurino, Emily M. Weiss, Sharon Wolf, Richard Appiah, Clara-Christina Gerstner, Noelle M Suntheimer
article en

Abstract

While the COVID-19 pandemic had well-documented short-term consequences for children's learning, less is known about longer-term academic trajectories. Using a longitudinal sample of Ghanaian children (2015-2024; N = 2,901; Mages = 5.1-13.2 years; 49.3% female), this study employed a piecewise latent growth curve approach to examine math trajectories before, during, and after the pandemic and examined whether 6 risk and protective factors explained interindividual variability in trajectories. Findings show that math growth slowed significantly during school closures, with partial recovery afterward. Wealthier households, cognitively stimulating caregiving, and private school attendance were protective. Findings regarding risk factors were less conclusive. The study highlights the lasting educational consequences of widespread crises and points to specific protective factors that can sustain math learning.

Child Development
Rutgers, The State University of New Jersey (US), Ministry of Health (GH), University of Minnesota (US), University of Ghana (GH), University of Alabama (US), Northumbria University (GB), Twin Cities Orthopedics (US), Ghana Health Service (GH), Barcelona School of Economics (ES), University of Pennsylvania (US), Philadelphia University (US)
Openalex Percentile: Top 27%
COVID-19 and Mental Health
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