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State takeover of school districts—a form of political centralization that shifts decision-making power from locally elected leaders to the state—has increased in recent years, often with the purported goal of improving district financial condition. Takeover has affected millions of students throughout the U.S. since the first takeover in 1988 and is most common in larger districts and communities serving large shares of low-income students and students of color. While previous research finds takeovers do not benefit student academic achievement on average, we investigate whether takeovers achieve their goal of improving financial outcomes. Using an event study approach, we find takeovers from 1990 to 2019 increased annual school spending by roughly $2,000 per pupil after five years, on average, leading to improvements in financial condition. Increased funding came primarily from state sources and funded districts’ legacy costs. However, takeover did not affect spending for districts with majority-Black student populations—which are disproportionately targeted for takeover—adding to a growing literature suggesting that takeover unequally affects majority-Black communities.
Much recent debate among policymakers and policy advocates focuses on whether states should reduce teacher licensure requirements to ease the burdens of recruiting high quality teachers to the workforce. We examine the effectiveness of individuals who entered the teacher workforce in Massachusetts during the pandemic by obtaining an emergency license, which requires only a bachelor’s degree. Our results show that, in 2021-22, newly hired emergency licensed teachers: 1) were largely rated as proficient (82%) in their performance evaluation ratings and 2) had similar measures of student test score growth as their traditionally licensed peers. However, we find suggestive evidence that emergency licensed teachers with no prior employment in Massachusetts public schools and no prior engagement with the teacher pipeline (i.e., enrollment in teacher preparation, attempting licensure exams) received lower performance ratings and had lower measures of student test score growth in English Language Arts. Taken together, these results encourage the creation of additional flexibility in licensure requirements for those who have demonstrated prior efforts to join the educator pipeline.
Using a natural experiment which randomized class times to students, this study reveals that enrolling in early morning classes lowers students' course grades and the likelihood of future STEM course enrollment. There is a 79% reduction in pursuing the corresponding major and a 26% rise in choosing a lower-earning major, predominantly influenced by early morning STEM classes. To understand the mechanism, I conducted a survey of undergraduate students enrolled in an introductory course, some of whom were assigned to a 7:30 AM section. I find evidence of a decrease in human capital accumulation and learning quality for early morning sections.
While learning outcomes in low- and middle-income countries are generally at low levels, the degree to which students and schools more broadly within education systems lag behind grade-level proficiency can vary significantly. A substantial portion of existing literature advocates for aligning curricula closer to the proficiency level of the “median child” within each system. Yet, amidst considerable between-school heterogeneity in learning outcomes, choosing a single instructional level for the entire system may still leave behind those students in schools far from this level. Hence, establishing system-wide curriculum expectations in the presence of significant between-school heterogeneity poses a significant challenge for policymakers — especially as the issue of between-school heterogeneity has been relatively unexplored by researchers so far. This paper addresses the gap by leveraging a unique dataset on foundational literacy and numeracy outcomes, representative of six public educational systems encompassing over 900,000 enrolled children in South Asia and West Africa. With this dataset, we examine the current extent of between-school heterogeneity in learning outcomes, the potential predictors of this heterogeneity, and explore its potential implications for setting national curricula for different grade levels and subjects. Our findings reveal that between-school heterogeneity can indeed present both a severe pedagogical hindrance and challenges for policymakers, particularly in contexts with relatively higher levels of performance and in the higher grades. In response to meaningful between-system heterogeneity, we also demonstrate through simulation that a more nuanced, data-driven targeting of curricular expectations for different schools within a system could empower policymakers to effectively reach a broader spectrum of students through classroom instruction.
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.
Transitional Kindergarten (TK) is a relatively recent entrant into the U.S. early education landscape, combining features of public pre-K and regular kindergarten. We provide the first estimates of the impact of Michigan’s TK program on 3rd grade test scores. Using an augmented regression discontinuity design, we find that TK improves 3rd grade math scores by 0.29 standard deviations relative to a counterfactual that includes other formal and informal learning options. This impact is notably large relative to the prior pre-K literature. Estimates for English Language Arts (ELA) are imprecise but suggestive of a positive effect as well.
Recent research suggests that using additional teachers to provide small-group instruction or tutoring substantially improves student learning. However, treatment effects on test scores can fade over time, and less is known about the lasting effects of such interventions. We leverage data from a Norwegian large-scale field experiment to examine the effects of small-group instruction in mathematics for students aged 7-9. This intervention shares many features with other high-impact tutoring programs, with some notable exceptions: instruction time was kept fixed, it had a lower dosage, and it targeted students of all ability levels. The latter allows us to assess fadeout across the ability distribution. Previous research on this intervention finds positive short-run effects. This paper shows that about 60% of the effect persists 3.5 years later. The effect size and degree of fadeout are surprisingly similar across the ability distribution. The study demonstrates that small-group instruction in mathematics successfully targets student performance and that effects can be sustained over time.
We extend teacher evaluation research by estimating a reformed evaluation system's plausibly causal average effects on rural student achievement, identifying the settings where evaluation works, and incorporating evaluation expenditures. That the literature omits these contributions is concerning as research implies it hinders evidence-based teacher evaluation policymaking for rural districts, which outnumber urban districts. We apply a difference-in-differences framework to Missouri administrative data. Missouri districts could design and maintain reformed systems or outsource these tasks for a small fee to organizations like the Network for Educator Effectiveness (NEE), an evaluation system created for rural users. NEE does not affect student achievement on average but it improves math, and possibly reading, achievement in rural schools where the average student's prior-year achievement score is below the state average or the average teacher's years of experience are below the state average.
While Hispanic students represent the fasting-growing segment of the American school-age population, substantial gaps exist in college enrollment and Bachelor’s attainment between Hispanic and White and Asian students. Numerous factors contribute to these disparities and disproportionally affect Hispanic youth. In this paper, we contribute evidence on the impact of an intensive college advising program on Hispanic students’ college participation and degree attainment. We report on a multi-cohort randomized controlled trial of College Forward, which provides individualized advising from junior year of high school through college for a majority Hispanic, lower-income student population in Texas. Students who receive College Forward advising are 7.1 percentage points more likely to earn a Bachelor’s degree within 5 years of high school graduation; this effect appears largely driven by shifting high school graduates from the extensive margin of not going to college at all to instead enroll at four-year colleges and universities. Despite the costs associated with intensive advising programs like College Forward, back of the envelope calculations suggest that the benefit from increased college graduation induced by the program outweighs operating costs in less than three years following college completion.
Recent work highlights the challenge of scaling evidence-based educational programs. We report on a randomized controlled trial of a financial incentive program designed to increase the efficacy of a national remote college advising initiative for high-achieving students. We find substantial positive effects of the program on student engagement with college advisors; applications to well-matched colleges and universities; and review of financial aid awards. Yet treated students were no more likely to enroll at higher-quality institutions. Student survey responses suggest that institutional admissions and affordability barriers, alongside student preferences to attend institutions closer to home, explain the lack of enrollment effects.