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Covid-19 Education Research for Recovery
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Public school systems across the U.S. have made major investments in tutoring to support students’ academic recovery in the wake of the COVID-19 pandemic. We evaluate a large urban district’s efforts to design, implement, and scale a district-operated, standards-based tutoring program across three years. We draw on extensive interviews and survey data to document the dynamic changes in the program as Metro Nashville Public Schools integrated core operations into its leadership and school structures, expanded tutor supply by pivoting from a volunteer to a teacher-based staffing model, and addressed scheduling constraints by offering tutoring immediately before and after school in addition to during the school day. The district steadily scaled the program across two years, delivering over 125,000 total hours of tutoring to more than 6,800 students while also increasing dosage each semester. Using a collection of experimental and quasi-experimental designs, we find consistent evidence of a small to medium average positive effect on students’ reading test scores (0.04 to 0.09 standard deviations), but no average effects on math test scores or course grades in either subject. We discuss four possible explanations for these results, including a limited treatment-control contrast, modest program duration, heterogeneous effects, and miscalibrated expectations of tutoring effects at scale.
The immediate impacts of COVID-19 on K12 schooling are well known. Over nearly 18 months, students’ academic performance and mental health deteriorated dramatically. This study aims to identify if and how the pandemic led to longer-term changes in core aspects of schooling. Drawing on semi-structured interviews with 31 teachers and administrators across 12 districts in two states, we find that schools today look quite different in several areas including the availability and use of instructional technology, instructional practice, parent-teacher communication, and the balance between academics and social-emotional well-being. We interpret these findings through the lens of institutional theory, and discuss implications of the changes for practitioners and policymakers.
This paper reports findings from a nationally representative survey of K-12 teachers in May 2023 that examines the potential long-term impacts of COVID-19 on public schooling. The findings suggest fundamental ways in which school operations, instructional practice and parent-teacher interaction have changed since the pandemic. Some changes seem promising; others suggest caution. While policymakers may not be able to directly influence some of the reported changes in the short run, monitoring the evolution of school practices (and their consequences for children) will position educational leaders to help teachers and students address the consequences of the COVID-19 pandemic going forward.
We study changes to teacher working conditions from 2016-17 to 2022-23, covering school years before, during, and after the COVID pandemic. We show working conditions were improving leading into the pandemic but declined when the pandemic arrived. Perhaps more surprisingly, the pandemic was not a low point: teacher working conditions have continued to decline during the post-pandemic period. Teachers report worsening working conditions along many dimensions including the level of classroom disruptions, student responsibility, and safety, among others. They also report declines in trust between themselves and principals, parents, and other teachers. Trends in working conditions since the pandemic are similar in schools serving more and less socioeconomically advantaged students. However, schools in districts where online learning was the predominant mode of instruction during the 2020-21 school year have experienced larger declines than other schools.
Scaling up evidence-based educational interventions to improve student outcomes presents challenges, particularly in adapting to new contexts while maintaining fidelity. Structured teacher adaptations that integrate the strengths of experimental science (high fidelity) and improvement science (high adaptation) offer a viable solution to bridge the research-practice divide. This preregistered randomized controlled trial study examines the effectiveness of structured teacher adaptations in a Tier 1 content literacy intervention delivered through asynchronous and synchronous methods during COVID-19 on Grade 3 students’ (N = 1,914) engagement in digital app and print-based reading activities, student-teacher interactions, and learning outcomes. Our structured teacher adaptations achieved higher average outcomes and minimal treatment heterogeneity across schools, thereby enhancing the effectiveness of the intervention rather than undermining it.
Budget constraints and limited supplies of local tutors have caused many K-12 school districts to pivot from individual tutoring in-person toward small-group tutoring online to expand access to personalized instruction. We conduct a field experiment to explore the effect of increasing student-tutor ratios on middle school students’ math achievement and growth during an online tutoring program. We leverage a novel feature of the program where tutors often taught individual and small-group tutoring sessions, allowing them to directly compare their experiences across these settings. Both experimental estimates and tutor survey responses suggest 1:1 tutoring is more effective than 3:1 tutoring online. Tutoring small groups in an online format presents additional challenges for personalizing instruction, developing relationships, fostering participation, and managing student behavior.
In-person tutoring has been shown to improve academic achievement. Though less well-researched, virtual tutoring has also shown a positive effect on achievement but has only been studied in grade five or above. We present findings from the first randomized controlled trial of virtual tutoring for young children (grades K-2). Students were assigned to 1:1 tutoring, 2:1 tutoring, or a control group. Assignment to any virtual tutoring increased early literacy skills by 0.05-0.08 SD with the largest effects for 1:1 tutoring (0.07-0.12 SD). Students initially scoring well below benchmark and first graders experienced the largest gains from 1:1 tutoring (0.15 and 0.20 SD, respectively). Effects are smaller than typically seen from in-person early literacy tutoring programs but still positive and statistically significant, suggesting promise particularly in communities with in-person staffing challenges.
We examine the state of the U.S. K-12 teaching profession over the last half century by compiling nationally representative time-series data on four interrelated constructs: occupational prestige, interest among students, the number of individuals preparing for entry, and on-the-job satisfaction. We find a consistent and dynamic pattern across every measure: a rapid decline in the 1970s, a swift rise in the 1980s extending into the mid 1990s, relative stability, and then a sustained decline beginning around 2010. The current state of the teaching profession is at or near its lowest levels in 50 years. We identify and explore a range of hypotheses that might explain these historical patterns including economic and sociopolitical factors, education policies, and school environments.
A concerning number of middle and high school students lack fundamental reading skills in the United States. One common way schools address this issue is by supporting those students with computer-assisted instruction. This study evaluates the causal effect of one such computer-assisted instruction intervention on English Language Arts achievement for middle and high school students in a large urban Southeast school district. The district uses a computer-based online learning platform as part of its multi-tiered system of support. The study benefits the usage data in the learning platform from about ten thousand students by exploiting difference in differences and event study estimations. Particularly, it offers a novel method by utilizing the time of initial platform usage and dates of within-year tests for each student. Our results indicate that, on average, the intervention increases test scores by 0.14 SD—a modest but important magnitude given the scale of the intervention. The magnitude of the effect is relatively larger for students who use the platform consistently and among English Language learners. Results are robust against several sensitivity tests including inverse probability weighting, and type of aggregated treatment effect parameter. These results suggest that effective computer-assisted instruction can help schools narrow the achievement gap among students, particularly for English Language learners.
Educational policymakers, leaders, and researchers are paying increasing attention to student attendance and chronic absenteeism, especially in the wake of the COVID-19 pandemic. Though researchers have documented the consequences and causes of absenteeism, there is limited empirical evidence about what schools and districts are actually doing to improve attendance. This study presents evidence about the types of attendance practices that forty-seven high-absenteeism districts in Michigan are planning and implementing. I draw on a combination of quantitative and qualitative data from principal surveys, case studies, observations, and school improvement plans. In the 2022-23 school year, principals reported using communication practices, incentives, and to an extent providing resources to address barriers to attendance. In improvement plans, districts planned to create new organizational infrastructure and hire new personnel, with less emphasis on specific practices. These findings highlight a reliance on communication-based strategies and limited existing organizational infrastructure for addressing attendance. Though these districts have planned to develop new attendance systems and practices, it is unclear whether they will substantially reduce absenteeism, since they do not substantially address social and economic inequalities at the root of high absenteeism rates. I conclude with recommendations for monitoring new attendance practices, addressing root causes, and avoiding counterproductive practices.