Search for EdWorkingPapers here by author, title, or keywords.
School bullying is widespread and has substantial social costs. One in five U.S. high school students report being bullied each school year and these students face greater risks of serious mental health challenges that extend into adulthood. As the COVID-19 pandemic forced most students into online education, many have worried that cyberbullying prevalence would grow dramatically. We use data from Google internet searches to examine changing bullying patterns as COVID-19 disrupted in-person schooling. Pre-pandemic historical patterns show that internet searches provide useful information about actual bullying behavior. Real-time data then shows that searches for school bullying and cyberbullying both dropped about 30-40 percent as schools shifted to remote learning in spring 2020. This drop is sustained through the fall and winter of the 2020-21 school year, though the gradual return to in-person instruction partially returns bullying searches to pre-pandemic levels. These results highlight how in-person interaction is an important mechanism underlying not only in-person school bullying, but also cyberbullying. We discuss how this otherwise damaging shock to students and schools provides insight into the mixed impact of the pandemic on student well-being.
Covid-19-induced school closures generated great interest in tutoring as a strategy to make up for lost learning time. Tutoring is backed by a rigorous body of research, but it is unclear whether it can be delivered effectively remotely. We study the effect of teacher-student phone call interventions in Kenya when schools were closed. Schools (n=105) were randomly assigned for their 3rd, 5th and 6th graders (n=8,319) to receive one of two versions of a 7-week weekly math-focused intervention—5-minute accountability checks or 15-minute mini-tutoring sessions—or to the control group. Although calls increased student perceptions that teachers cared, accountability checks had no effect on math performance up to four months after the intervention and tutoring decreased math achievement among students who returned to their schools after reopening. This was, in part, because the relatively low-achieving students most likely to benefit from calls were least likely to return and take in-person assessments. Tutoring substituted away from more productive uses of time, at least among returning students. Neither intervention affected enrollment. Tutoring remains a valuable tool but to avoid unintended consequences, careful attention should be paid to aligning tutoring interventions with best practices and targeting interventions to those who will benefit most.
Do Americans hold a consistent set of opinions about their public schools and how to improve them? From 2013 to 2018, over 5,000 unique respondents participated in more than one consecutive iteration of the annual, nationally representative Education Next poll, offering an opportunity to examine individual-level attitude stability on education policy issues over a six-year period. The proportion of participants who provide the same response to the same question over multiple consecutive years greatly exceeds the amount expected to occur by chance alone. We also find that teachers offer more consistent responses than their non-teaching peers. By contrast, we do not observe similar differences in attitude stability between parents of school-age children and their counterparts without children.
Sixty-seven school finance reforms (SFRs), a combination of court-ordered and legislative reforms, have taken place since 1990; however, there is little empirical evidence on the heterogeneity of SFR effects. In this study, we estimate the effects of SFRs on revenues and expenditures between 1990 and 2014 for 26 states. We find that, on average, per pupil spending increased, especially in low-income districts relative to high-income districts. However, underlying these average effect estimates, the distribution of state-level effect sizes ranges from negative to positive---there is substantial heterogeneity. When predicting SFR impacts, we find that multiple state-level SFRs, union strength, and some funding formula components are positively associated with SFR effect sizes in low-income districts. We also show that, on average, states without SFRs adopted funding formula components and increased K-12 state revenues similarly to states with SFRs.
Despite interest in the role of school discipline in the creation of racial inequality, previous research has been unable to identify how students who receive suspensions in school differ from unsuspended classmates on key young adult outcomes. We utilize novel data to document the links between high school discipline and important young adult outcomes related to criminal justice contact, social safety net program participation, post-secondary education, and the labor market. We show that the link between school discipline and young adult outcomes tends to be stronger for Black students than for White students, and that inequality in exposure to school discipline accounts for approximately 30 percent of the Black-White disparities in young adult criminal justice outcomes and SNAP receipt.
Over the last decade, more and more schools have adopted Universal Free Meals (UFM), a program that provides meals free of charge to all students, regardless of household income. Recent research finds UFM increases participation in school meals, improves test scores, and reduces incidences of bad behavior. Additionally, advocates cite stigma reduction as one of UFM’s many benefits, but to date, scholars have yet to provide empirical evidence of this claim. This paper fills the gap in the literature by being the first to examine whether UFM influences student perceptions of school climate. I use individual, student survey responses and school meal participation data from New York City Department of Education (NYCDOE) to investigate whether and to what extent UFM changes participation behavior and student perceptions of their school climate. Using a difference-in-differences design, I exploit students’ staggered exposure to UFM, among those that are ever exposed, to investigate if UFM influences participation and improves student perceptions of bullying, fighting, respect, and safety. I find UFM increases school lunch participation among students that were previously eligible for free meals but rarely participated, suggesting that UFM affects participation patterns beyond simply reducing the price of food. All students, regardless of socioeconomic status, report reductions in perceptions of bullying and fighting within school, as well as improvements in perceptions of safety outside of school. Notably, students ever designated as eligible for free/reduced price meals and those that ate school lunches last year report feeling safer inside the school cafeteria. Thus, not only does UFM improve perceptions associated with stigma for students who directly interact with UFM, but the program also has positive effects for all students regardless of their socioeconomic status.
Education savings accounts (ESAs) are education funding mechanisms that allow for families to receive a deposit of public funds to a government-authorized savings account. Using student-level longitudinal data, this paper examines how families participating in the Florida Gardiner Scholarship Program use education savings account funds. Results indicate that families use an increasing proportion of ESA funds the longer students remain in the program. The longer students remain in the program, the share of ESA funds devoted to private school tuition decreases while expenditure shares increase for curriculum, instruction, tutoring, and specialized services. Students in rural areas not only use a greater portion of their ESA funds than families in urban and suburban areas, but they also spend smaller portions of their funds on tuition and appear to customize more.
In conversation, uptake happens when a speaker builds on the contribution of their interlocutor by, for example, acknowledging, repeating or reformulating what they have said. In education, teachers' uptake of student contributions has been linked to higher student achievement. Yet measuring and improving teachers' uptake at scale is challenging, as existing methods require expensive annotation by experts. We propose a framework for computationally measuring uptake, by (1) releasing a dataset of student-teacher exchanges extracted from US math classroom transcripts annotated for uptake by experts; (2) formalizing uptake as pointwise Jensen-Shannon Divergence (pJSD), estimated via next utterance classification; (3) conducting a linguistically-motivated comparison of different unsupervised measures and (4) correlating these measures with educational outcomes. We find that although repetition captures a significant part of uptake, pJSD outperforms repetition-based baselines, as it is capable of identifying a wider range of uptake phenomena like question answering and reformulation. We apply our uptake measure to three different educational datasets with outcome indicators. Unlike baseline measures, pJSD correlates significantly with instruction quality in all three, providing evidence for its generalizability and for its potential to serve as an automated professional development tool for teachers.
Advanced course-taking in high school sends an important signal to college admissions officers, helps reduce the cost and time to complete a post-secondary degree, and increases educational attainment and future earnings. However, Black and Hispanic students in the U.S. are underrepresented in Advanced Placement coursework and dual enrollment (i.e. early college). In this paper, we systematically examine the social, demographic, economic, and policy factors that are predictive of racial gaps in AP enrollment and access to DE across the U.S. We find that many of the same factors that predict higher AP access overall also predict higher racial/ethnic gaps in AP, suggesting that policies aimed at increasing AP access need to specifically attend to the inequitable access, rather than simply focusing on increasing access overall. We also find evidence that that might indicate opportunity hoarding by White families contributes to AP gaps – but not DE gaps – suggesting that DE acts as a more equitable avenue for access to college coursework. Our most novel contribution to the literature is our analysis of policies aimed at reducing teacher shortages in high needs areas, in which we find no evidence that the disparities in access to advanced coursework were reduced following implementation of these policies.
In multisite experiments, we can quantify treatment effect variation with the cross-site treatment effect variance. However, there is no standard method for estimating cross-site treatment effect variance in multisite regression discontinuity designs (RDD). This research rectifies this gap in the literature by systematically exploring and evaluating methods for estimating the cross-site treatment effect variance in multisite RDDs. Specifically, we formalize a fixed intercepts/random coefficients (FIRC) RDD model and develop a random effects meta-analysis (Meta) RDD model for estimating cross-site treatment effect variance. We find that a restricted FIRC model works best when the running variables' relationship to the outcome is stable across sites but can be biased otherwise. In those instances, we recommend using either the unrestricted FIRC model or the meta-analysis model; with the unrestricted FIRC model generally performing better when the average number of in-bandwidth observations is less than 120 and the meta-analysis model performing better when the average number of in-bandwidth observations is above 120. We apply our models to a high school exit exam policy in Massachusetts that required students who passed the high school exit exam but were still determined to be nonproficient to complete an ``Education Proficiency Plan" (EPP). We find the EPP policy had a positive local average treatment effect on whether students completed a math course their senior year on average across sites, but that the impact varied enough such that a third of schools could have had a negative impact.