The COVID-19 pandemic forced fundamental changes to the nation’s schools at a breathtaking pace. When building closures first took effect in March 2020, many teachers, students, and parents entered uncharted waters. Across the country, thousands of educators worked around the clock to reengineer how schools serve students in the midst of the pandemic.

To track the evolving activities in schools, the American Enterprise Institute developed the COVID-19 Education Response Longitudinal Survey (C-ERLS). C-ERLS gauges how public schools provided instruction, as well as other essential educational services such as meals and technology assistance, across the duration of the pandemic. C-ERLS was designed to be rapid (captures data in two–three-day windows), reliable (collects information from school district websites), representative (reflects changes in districts across the country), and repetitive (conducted in six waves throughout the spring).

Data were gathered at the district level, and—given that district websites operate as central communication hubs—that information is assumed to apply across all district schools. As such, the data reflect district policies, not necessarily how schools are implementing those options. The sample includes information on 250 public school districts, which contain 10,289 schools.

Fall 2020 Reopening

Spring 2020 Remote Learning

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Survey Data

Publically available versions of the six waves of C-ERLS datasets are available below, along with variable definitions, documentation, and update history.

Wave 1 C-ERLS data

Wave 2 C-ERLS data

Wave 3 C-ERLS data

Wave 4 C-ERLS data

Wave 5 C-ERLS data

Wave 6 C-ERLS data

A methodology overview for the publicly available data is available here.

 

Overview of C-ERLS Methodology

The AEI education policy team developed the COVID-19 Education Response Longitudinal Survey (C-ERLS) rapidly in response to the pandemic that was prompting change in districts and schools. With limited staff resources, we designed C-ERLS to maximize the value of the information we could gather by satisfying multiple priorities, including making it rapid, reliable, representative, and repetitive.

Continue Reading Methodology . . .