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Covid-19 Education Research for Recovery

Displaying 21 - 30 of 90

Sara White, Leiah Groom-Thomas, Susanna Loeb.

Tutoring has emerged as an especially promising strategy for supporting students academically. This study synthesizes 33 articles on the implementation of tutoring, defined as one-to-one or small-group instruction in which a human tutor supports students grades K-12 in an academic subject, to better understand the facilitators and barriers to program success. We find that policies influenced tutoring implementation through the allocation of federal funding and stipulation of program design. Tutoring program launch has often been facilitated by strategic relationships between schools and external tutoring providers and strengthened by transparent assessments of program quality and effectiveness. Successful implementation hinged on the support of school leaders with the power to direct school funding, space, and time. Tutoring setting and schedule, recruitment and training, and curriculum influenced whether students are able to access quality tutoring and instruction. Ultimately, evidence suggests that tutoring was most meaningful when tutors fostered positive student-tutor relationships which they drew upon to target instruction toward students’ strengths and needs.

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Emily Morton, Paul Thompson, Megan Kuhfeld.

Four-day school weeks are becoming increasingly common in the United States, but their effect on students’ achievement is not well-understood. The small body of existing research suggests the four-day schedule has relatively small, negative average effects (~-0.02 to -0.09 SD) on annual, standardized state test scores in math and reading, but these studies include only a single state or are limited by using district-level data. We conduct the first multi-state, student-level analysis that estimates the effect of four-day school weeks on student achievement and a more proximal measure of within-year growth using NWEA MAP Growth assessment data. We conduct difference-in-differences analyses to estimate the effect of attending a four-day week school relative to attending a five-day week school. We estimate significant negative effects of the schedule on spring reading achievement (-0.07 SD) and fall-to-spring achievement gains in math and reading (-0.06 SD in both). The negative effects of the schedule are disproportionately larger in non-rural schools than rural schools and for female students, and they may grow over time. Policymakers and practitioners will need to weigh the policy’s demonstrated negative average effects on achievement in their decisions regarding how and if to implement a four-day week.

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Timothy F. Harris, C. Lockwood Reynolds.

We analyze the impact of COVID-19 diagnoses on student grades, retention, and on-time graduation at a large public university. Even though COVID-19 rarely causes major health complications for a typical university student, diagnosis and quarantine may cause non-trivial disruptions to learning. Using event study analysis, we find that a COVID-19 diagnosis decreased a student's term grade point average (GPA) modestly by 0.08 points in the semester of diagnosis without significant effects afterward. The results were the most pronounced for male students, individuals with face-to-face instruction, and those with higher GPAs before the pandemic. We do not find a significant increase in the incidence of failing or withdrawing from a course due to diagnosis. In addition, we find no general evidence that the diagnoses delayed graduation or significantly altered first-year retention. However, the University experienced significant grade inflation during the pandemic, which exceeded the estimated effects of any COVID-19 diagnoses.

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Jesse Bruhn, Christopher Campos, Eric Chyn.

We study the distributional effects of remote learning. Our approach combines newly collected data on parental preferences with administrative data from Los Angeles. The preference data allow us to account for selection into remote learning while also studying selection patterns and treatment effect heterogeneity. We find a negative average effect of remote learning on reading (–0.14σ) and math (–0.17σ). Notably, we find evidence of positive learning effects for children whose parents have the strongest demand for remote learning. Our results suggest an important subset of students who currently sort into post-pandemic remote learning benefit from expanded choice.

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Jane Friesen, Brian Krauth, Brett Wilmer.

We use linked individual-level data on school enrollment, physician services received, and prescription medications to measure the effect of the COVID-19 pandemic and associated disruptions on mental health treatment received by adolescents in British Columbia. We also investigate whether these effects are mediated by socioeconomic status and schooling mode. The results suggest substantial increases for non-Indigenous English home language girls in treatment for depression/anxiety, ADHD, eating disorders and other mental health conditions. Indigenous and non-English home language girls also show increases in treatment for depression/anxiety, and Indigenous girls show increases in treatment for ADHD. In contrast, boys show no change or even reductions in treatment for most mental health conditions. These effects vary somewhat by socioeconomic status, but we find no evidence that they vary substantially by schooling mode.

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Syedah Aroob Iqbal, Harry Anthony Patrinos.

School closures induced by the COVID-19 pandemic led to concerns about student learning. This paper evaluates the effect of school closures on student learning in Uzbekistan, using a unique dataset that allows assessing change in learning over time. The findings show that test scores in math for grade 5 students improved over time by 0.29 standard deviation despite school closures. The outcomes among students who were assessed in 2019 improved by an average of 0.72 standard deviation over the next two years, slightly lower than the expected growth of 0.80 standard deviation. The paper explores the reasons for no learning loss.

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Torsten Figueiredo Walter, Guthrie Gray-Lobe, Sarah Kabay.

Hardware requirements are a barrier to widespread adoption of digital learning software among low-income populations. We investigate the demand among smallholder-farming households for a simple, adaptive math learning tool that can be accessed by widely available ``brick'' phones, and its effect on educational outcomes. Over a quarter of invited households used the tool, with greater demand among households lacking electricity, radios, or televisions. Usage was highest when schools were out of session. Engagement lapsed without regular reminders to use the service. Using random variation in access to the service, we find evidence that the platform increased test scores, school attendance, and grade attainment. Interpretation of these estimates is complicated by potentially endogenous outcome observation.

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Scott J. Peters, Meredith Langi, Megan Kuhfeld, Karyn Lewis.

The COVID-19 pandemic resulted in substantial unfinished learning for U.S. students, but to differing degrees for various subgroups. For example, students of color, from low-income families, or who attended high-poverty schools experienced greater unfinished learning. In this study we examined the degree of unfinished learning for students who went into the pandemic scoring in the top or bottom 10% in the math or reading achievement distributions. Our results show that students who scored at or below the 10th percentile grew less during the pandemic than their similarly-scoring, pre-COVID peers and, as of the end of the 2021 – 2021 school year, had yet to rebound toward pre-COVID levels of growth or achievement. Conversely, students who scored at or above the 90th percentile largely grew at rates closer to their pre-COVID peers. These students were harmed less academically and have recovered more quickly than their peers scoring at or below the 10th percentile.

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Martin S. Andersen, Emefa Buaka, D. Sunshine Hillygus, Christopher R. Marsicano, Rylie C. Martin.

Temporary college closures in response to the COVID-19 pandemic created an exodus of students from college towns just as the decennial census count was getting underway. We use aggregate cellular mobility data to evaluate if this population movement affected the distributional accuracy of the 2020 Census. Based on the outflow of devices in late March 2020, we estimate that counties with a college were undercounted by two percent, likely affecting Congressional apportionment. For college towns, student populations can impact government funding allocations, policy program decisions, and planning for infrastructure, public health, and more. The Census Bureau is allowing governmental entities to request count reviews through June 2023. Colleges should cooperate with state and local government efforts to ensure an accurate count.

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Erin W. Manuel, Camille N. Mikkelsen.

In response to the Covid-19 pandemic and school disruption, both the federal and state government have sought to allocate needed funding to schools so they can provide adequate instruction and safe learning spaces to students in North Carolina. These funds, particularly the ESSER III funding through the American Rescue Plan Act of 2021, were provided to individual Public School Units (PSUs) based on applications identifying spending plans. These spending plans, submitted to the state before November 2021, include applications from 112 traditional Local Education Agencies (LEAs) and 177 charter PSUs. Using a mixed methods approach, both the quantitative and qualitative portions of this study independently attempt to identify patterns in the funding priorities of individual PSUs through the narrative in their funding applications, then compare the results to develop a more holistic understanding of these funding priorities. Overall, PSUs prioritized spending plans in the areas of technology, personnel, academic Covid-19 mitigation efforts (combating effects of lost opportunities to learn), and safety Covid-19 mitigation efforts (reducing viral spread and other projects to protect physical health and safety). In reviewing these applications and the results of both studies, we have developed several recommendations for mitigating the impact of the most recent school disruption and preparing for the next school disruption. These recommendations include re-evaluating enrichment programs, addressing the unique needs of various student populations, investing in quality education materials, developing research-based practices and strategies, growing professional networks between PSUs, and prioritizing the physical health and safety of students through regular maintenance of school structures.

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