Patterns of academic test score decline and recovery during and after the COVID-19 pandemic
sean reardon, Stanford University
Tuesday, Feb 6| 9am PT Meet | Youtube Stream
Hi all,
The presentation will be via Meet and all questions will be addressed there. If you cannot attend live, the event will be recorded and can be found afterward at
https://sites.google.com/modelingtalks.org/entry/patterns-of-academic-test-score-decline-and-recovery-covid
Abstract:
We use test score data from 8,000 school districts in 30 states in 2019, 2022, and 2023 to measure the extent of learning loss and recovery during and after the pandemic. We find that students recovered approximately one-third of the original loss in math (0.17 grade levels out of the 0.53 grade levels decline from 2019-2022) and one quarter of the loss in reading (0.08 grade levels out of the 0.31 grade level decline from 2019-2022). These gains are large relative to historical changes in math and reading achievement on the National Assessment of Educational Progress. Nonetheless, we find that the recovery has been unequal – achievement disparities between poor and nonpoor districts and students are wider in 2023 than in 2019. We conclude with recommendations for educators and policymakers. Report: https://educationrecoveryscorecard.org/wp-content/uploads/2024/01/ERS-Report-Final-1.31.pdf Press coverage: https://www.nytimes.com/interactive/2024/01/31/us/pandemic-learning-loss-recovery.html (Data exploration tools: https://www.nytimes.com/interactive/2024/02/01/upshot/learning-loss-school-districts.html) and on our site: Education Opportunity Project: https://edopportunity.org/ Bio: Sean Reardon is the endowed Professor of Poverty and Inequality in Education and is Professor (by courtesy) of Sociology at Stanford University. His research focuses on the causes, patterns, trends, and consequences of social and educational inequality, the effects of educational policy on educational and social inequality, and in applied statistical methods for educational research. Reardon is the developer of the Stanford Education Data Archive (SEDA). Based on 500 million standardized test scores, SEDA provides measures of educational opportunity, average test score performance, academic achievement gaps, and other information for every public school district in the US. Professor Reardon received his doctorate in education in 1997 from Harvard University. He is a member of the National Academy of Education and the American Academy of Arts and Sciences.
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