Bocconi University Department of Social and Political Sciences, Milan, Italy.
Columbia University Center on Poverty and Social Policy, New York, NY, USA.
Nat Hum Behav. 2021 Apr;5(4):522-528. doi: 10.1038/s41562-021-01087-8. Epub 2021 Mar 18.
The coronovirus disease 2019 (COVID-19) pandemic has prompted many school districts to turn to distance or at-home learning. Studies are emerging on the negative effects of distance learning on educational performance, but less is known about the socio-economic, geographic and demographic characteristics of students exposed to distance learning. We introduce a U.S. School Closure and Distance Learning Database that tracks in-person visits across more than 100,000 schools throughout 2020. The database, which we make publicly accessible and update monthly, describes year-over-year change in in-person visits to each school throughout 2020 to estimate whether the school is engaged in distance learning. Our findings reveal that school closures from September to December 2020 were more common in schools with lower third-grade math scores and higher shares of students from racial/ethnic minorities, who experience homelessness, have limited English proficiency and are eligible for free/reduced-price school lunches. The findings portend rising inequalities in learning outcomes.
2019 年冠状病毒病(COVID-19)大流行促使许多学区转向远程或居家学习。关于远程学习对教育成绩的负面影响的研究正在出现,但对于接触远程学习的学生的社会经济、地理和人口特征知之甚少。我们引入了一个美国学校关闭和远程学习数据库,该数据库跟踪了 2020 年超过 100,000 所学校的实地访问情况。该数据库可公开访问并每月更新,描述了 2020 年每所学校实地访问的年度变化,以估算学校是否正在进行远程学习。我们的研究结果表明,2020 年 9 月至 12 月的学校关闭在数学成绩较低的三年级和来自少数族裔/族裔、无家可归、英语水平有限以及有资格享受免费/减价校餐的学生比例较高的学校中更为普遍。这些发现预示着学习成果不平等现象的加剧。