We use data from oral reading fluency (ORF) assessments to examine COVID-19’s effects on children’s ORF in over 100 U.S. school districts. Students’ development of ORF largely stopped in spring 2020 following the onset of the COVID-19 pandemic. In fall 2020, students’ gains in reading were stronger and similar to prepandemic rates. However, fall gains were insufficient to recoup spring losses; overall, students’ ORF in second and third grade is approximately 30 percent behind expectations.
In March 2020, most schools in the U.S. transitioned to distance learning. During the transition a significant number of students did not fully engage in learning opportunities. This brief uses administrative panel data from the CORE Districts in California to approximate the impact of the pandemic by analyzing how absenteeism has affected student outcomes in the recent past. We show wide variation in absenteeism impacts on academic and social-emotional outcomes by grade and subgroup, as well as the cumulative effect of different degrees of absence.
Prior work has shown that levels of self-reported student social-emotional learning (SEL) predict student achievement levels—as well as student achievement gains—but little has been done to understand if within-student changes in student reports of SEL are predictive of changes in theoretically related academic and behavioral outcomes.
The number of students opting out of standardized tests has grown in recent years. This phenomenon poses a potential threat to our ability to accurately measure student achievement in schools and districts. This brief documents the extent to which opting out is observed in the CORE districts and models how higher opt-out levels could affect various accountability measures.
School value-added models are increasingly used to measure schools’ contributions to student success. At the same time, policymakers and researchers agree that schools should support students’ social-emotional learning (SEL) as well as academic development. Yet, the evidence regarding whether schools can influence SEL and whether statistical growth models can appropriately measure this influence is limited. Recent work shows meaningful differences across schools in changes in SEL scores by grade, but whether these differences represent the effects of schools is still unclear.