Publication date: Jun 06, 2026
This study examines how COVID-19 affected educational disparities among 652 university students in Guangxi, China, through quantitative cross-sectional analysis. Data collected via online survey in spring 2022 captured demographic variables, resource access, and academic performance across diverse institution types. Results show significant differences: 28. 3% of low-income students lacked adequate digital tools versus 8. 7% of high-income peers; 37. 8% of low-SES students reported grade declines-nearly double the high-SES rate. Regression analysis identifies SES as a significant predictor of learning effectiveness (β = 0. 25, p

Semantics
| Type | Source | Name |
|---|---|---|
| disease | MESH | COVID-19 |
Original Article
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