The Pandemic Schooling Mode and Assessment Outcomes Data Series
We envision the COVID-19 School Data Hub as a resource to help generate knowledge about how school learning models during the pandemic may have shaped a variety of outcomes for both children (including both academic and health outcomes) and adults. These preliminary white papers introduce the CSDH project and provide an example of how to explore and learn from the learning model data.
Correlates of January 2022 COVID-19 Schooling Disruptions
An examination of January 2022 school closures (based on Burbio data) by school closure information from 2020-21 and district demographic information. The data indicate that 2022 school closures are disproportionately affecting districts that had less in-person learning and more virtual learning in the prior school year.
Citation: COVID-19 School Data Hub. 2022. "Correlates of January 2022 COVID-19 Schooling Disruptions". Research (Version 2/1/22). Accessed at https://www.covidschooldatahub.com/research on [date].
COVID-19 School Data Hub: Introduction and Data Availability Overview
An overview of the COVID-19 School Data Hub data and data collection efforts, including an initial look at variation in data availability across states.
Citation: COVID-19 School Data Hub. 2021. "COVID-19 School Data Hub: Introduction and Data Availability Overview". Research (Version 9/15/21). Accessed at https://www.covidschooldatahub.com/research on [date].
Pandemic Schooling Mode and Student Test Scores: Evidence from U.S. States
We estimate the impact of district-level schooling mode (in-person versus hybrid or virtual learning) in the 2020-21 school year on students' pass rates on standardized tests in Grades 3--8 across 11 states. Pass rates declined from 2019 to 2021: an average decline of 12.8 percentage points in math and 6.8 in English language arts (ELA). Focusing on within-state, within-commuting zone variation in schooling mode, we estimate districts with full in-person learning had significantly smaller declines in pass rates (13.4 p.p. in math, 8.3 p.p. in ELA). The value to in-person learning was larger for districts with larger populations of Black students. Publication replication materials will be provided upon publication.
Publication forthcoming in AER-I Insights in 2023
SafeGraph and COVID-19 School Data Hub Comparison Project Whitepaper
In this paper, we compare CSDH’s schooling mode data through the pandemic with Parolin and Lee’s U.S. School Closure and Distance Learning Database, sourced from data aggregation company SafeGraph’s cell phone data. By comparing school cell phone traffic data with standardized, state-reported schooling mode data, we hope to better understand the reliability of cell phone traffic data as a proxy for schools’ schooling modes. This exercise also informs and contextualizes the growing body of work that uses cell phone data to measure schooling mode directly (Fuchs-Schündeln et al., 2021; Kurmann and Lalé, 2021).
Citation: Okun, J., Philbrick, J., Shanmugam, A., & Oster, E. 2022. "SafeGraph and COVID-19 School Data Hub Comparison Project Whitepaper". Research (Version 10/20/22). Accessed at https://www.covidschooldatahub.com/research on [date].
State Snapshot of Test Scores and Pandemic Learning Models: Virginia
Preliminary findings using Virginia’s Standards of Learning (SOL) assessments and CSDH learning model data to explore variation in student academic outcomes by districts’ predominant learning model in 2020-21.
Citation: COVID-19 School Data Hub. 2021. "State Snapshot of Test Scores and Pandemic Learning Models: Virginia". Research (Version 9/15/21). Accessed at https://www.covidschooldatahub.com/research on [date].