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Educators must balance the needs of students who start the school year behind grade level with their obligation to teach grade-appropriate content to all students. Educational software could help educators strike this balance by targeting content to students’ differing levels of mastery. Using a regression discontinuity design and detailed software log and administrative data, we compare two versions of an online mathematics program used by students in three education agencies. We find that although students assigned the modified curriculum did progress through content objectives more quickly than students assigned the default curriculum, they did not perform better on pre- and post-objective quizzes embedded in the software, and most never progressed far enough to reach the grade-level content. Furthermore, there was no statistically significant effect of the modified curriculum on formative test scores. These findings suggest policymakers and practitioners should exercise caution when assigning exclusively remedial content to students who start the school year behind grade level, even though this is a common feature of many math educational software programs.
Teacher strikes have gained national attention with the “#RedforEd” movement. Such strikes are polarizing events that could serve to elevate education as a political priority or cast education politics in a negative light. We investigate this empirically by collecting original panel data on U.S. teacher strikes, which we link to congressional election campaign advertisements. Election ads provide a useful window into political discourse because they are costly to sponsors, consequential for voter behavior, and predictive of future legislative agendas. Using a differences-in-differences framework, we find that teacher strikes dramatically increase education issue salience, with impacts concentrated among positively-framed ads. Effects are driven by strikes lasting only a few days and occurring in battleground areas with highly-contested elections.
We combine a large multi-site randomized control trial with administrative and survey data to demonstrate that intensive advising during high school and college leads to large increases in bachelor's degree attainment. Novel causal forest methods suggest that these increases are driven primarily by improvements in the quality of initial enrollment. Program effects are consistent across sites, cohorts, advisors, and student characteristics, suggesting the model is scalable. While current and proposed investments in postsecondary education focus on cutting costs, our result suggest that investment in advising is likely to be a more efficient route to promote bachelor's degree attainment.
This paper presents evidence that women and men benefit from having a higher percentage of female peers in post-secondary vocational STEM programs. I use idiosyncratic variation in gender composition across cohorts within majors within branches (campuses) for identification. Having a higher percentage of female peers positively affects students in STEM majors, decreasing women's dropout rates and increasing GPA. The peer effect seems to be mediated by the gender of the instructors: as female students have fewer female instructors, the effect of having more female peers intensifies. For men, a higher percentage of female peers reduces dropouts and increases GPA to a lesser extent, suggesting that policies that increase the representation of women need not entail a trade-off for male STEM students.
Traditional public schools in the United States must comply with a variety of regulations on educational inputs like teacher certification, maximum class sizes, and restrictions on staff contracts. Absent regulations, policymakers fear that troubled districts would make inappropriate decisions that would harm students. However, it is also possible that strict regulations hinder schools from optimizing student learning. This paper tests the salience of these two hypotheses within the context of a widespread deregulation effort in Texas which allows traditional public school districts to claim District of Innovation status and opt out of regulations not related to health, safety, and civil rights. Using a novel dataset of administration data merged with implementation information scraped from district websites, I estimate the impact of District of Innovation status with a difference-in-differences strategy where later implementers act as the comparison group for early implementers. I find that, despite the breadth of regulations exempted, regulatory autonomy does not significantly impact either math or reading achievement nor does it impact hiring or class sizes. Together, the results offer strong evidence against the hypothesis that regulation hinders school improvement and suggests that state input regulations play only a limited role in determining school decision-making or student achievement.
If school closures and social-distancing experiences during the Covid-19 pandemic impeded children’s skill development, they may leave a lasting legacy in human capital. To understand the pandemic’s effects on school children, this paper combines a review of the emerging international literature with new evidence from German longitudinal time-use surveys. Based on the conceptual framework of an education production function, we cover evidence on child, parent, and school inputs and students’ cognitive and socio-emotional development. The German panel evidence shows that children’s learning time decreased severely during the first school closures, particularly for low-achieving students, and increased only slightly one year later. In a value-added model, learning time increases with daily online class instruction, but not with other school activities. The review shows substantial losses in cognitive skills on achievement tests, particularly for students from disadvantaged backgrounds. Socio-emotional wellbeing also declined in the short run. Structural models and reduced-form projections suggest that unless remediated, the school closures will persistently reduce skill development, lifetime income, and economic growth and increase inequality.
Narrative accounts of classroom instruction suggest that external interruptions, such as intercom announcements and visits from staff, are a regular occurrence in U.S. public schools. We study the frequency, nature, and duration of external interruptions in the Providence Public School District (PPSD) using original data from a district-wide survey and classroom observations. We estimate that a typical classroom in PPSD is interrupted over 2,000 times per year, and that these interruptions and the disruptions they cause result in the loss of between 10 to 20 days of instructional time. Administrators appear to systematically underestimate the frequency and negative consequences of these interruptions. We propose several organizational approaches schools might adopt to reduce external interruptions to classroom instruction.
Parental text messaging interventions are growing in popularity to encourage at-home reading, school-attendance, and other educational behaviors. These interventions, which often combine multiple components, frequently demonstrate varying amounts of effectiveness, and researchers often cannot determine how individual components work alone or in combination with one another. Using a 2x2x3 factorial experiment, we investigate the effects of individual and interacted components from three behavioral levers to support summer reading: providing updated, personalized information; emphasizing different reading views; and goal setting. We find that the personalized information condition scored on average 0.03 SD higher on fall reading assessments. Texting effects on test scores were enhanced by messages that emphasized reading being useful for both entertainment and building skills compared to skill building alone or entertainment alone. These results continue to build our understanding that while text message can be an effective tool for parent engagement, the specific content of the message can lead to meaningful differences in the magnitude of the effects.
U.S. public school students increasingly attend schools with sworn law enforcement officers present. Yet, little is known about how these school resource officers (SROs) affect school environments or student outcomes. Our study uses a fuzzy regression discontinuity (RD) design with national school-level data from 2014 to 2018 to estimate the impacts of SRO placement. We construct this discontinuity based on the application scores of nearby police agencies for federal school-based policing grants. We find that SROs do effectively reduce some forms of violence in schools, but do not prevent school shootings or gun-related incidents. We also find that SROs intensify the use of suspensions, expulsions, police referrals, and arrests of students. These effects are consistently over two times larger for Black students than White students. Finally, we observe that SROs increase chronic absenteeism, particularly for students with disabilities.
Although the majority of elementary school teachers are in self-contained classrooms and teach all major subjects, a growing number of teachers specialize in teaching fewer subjects to higher numbers of students. We use administrative data from Indiana to estimate the effect of teacher specialization on teacher and school effectiveness in elementary schools. We find that teacher specialization leads to lower teaching effectiveness in math and reading, and the negative effects are larger when teaching students who are more likely to experience difficulties in school. Moreover, we find no evidence that increasing the proportion of teacher specialists at the school level generates improvements in indicators of school quality.