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Multiple outcomes of education

Catherine Armstrong Asher, Ethan Scherer, James S. Kim, Johanna Norshus Tvedt.

We leverage log data from an educational app and two-way text message records from over 3,500 students during the summers of 2019 and 2020, along with in-depth interviews in Spanish and English, to identify patterns of family engagement with educational technology. Based on the type and timing of technology use, we identify several distinct profiles of engagement, which we group into two categories: Independent Users who engage with technology-based educational software independently, and Interaction-Supported Users who use two-way communications to support their engagement. We also find that as the demands of families from schools increased during the COVID-19 pandemic, Spanish-speaking families were significantly more likely than English-speaking families to engage with educational technology across all categories of families, particularly as Interaction-Supported Users.

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James S. Kim, Joshua B. Gilbert, Jackie E. Relyea, Patrick Rich, Ethan Scherer, Mary A. Burkhauser, Johanna N. Tvedt.
We investigated the effectiveness of a sustained and spiraled content literacy intervention that emphasizes building domain and topic knowledge schemas and vocabulary for elementary-grade students. The Model of Reading Engagement (MORE) intervention underscores thematic lessons that provide an intellectual structure for helping students connect new learning to a general schema in Grade 1 (animal survival), Grade 2 (scientific investigation of past events like dinosaur mass extinctions), and Grade 3 (scientific investigation of living systems). A total of 30 elementary schools (N = 2,870 students) were randomized to a treatment or control condition. In the treatment condition (i.e., full spiral curriculum), students participated in content literacy lessons from Grades 1 to 3 during the school year and wide reading of thematically related informational texts in the summer following Grades 1 and 2. In the control condition (i.e., partial spiral curriculum), students participated in lessons in only Grade 3. The Grade 3 lessons for both conditions were implemented online during the COVID-19 pandemic school year. Results reveal that treatment students outperformed control students on science vocabulary knowledge across all three grades. Furthermore, intent-to-treat analyses revealed positive transfer effects on Grade 3 science reading (ES = .14), domain-general reading comprehension (ES = .11), and mathematics achievement (ES = .12). Treatment impacts were sustained at 14-month follow-up on Grade 4 reading comprehension (ES = .12) and mathematics achievement (ES = .16). Findings indicate that a content literacy intervention that spirals topics and vocabulary across grades can improve students’ long-term academic achievement outcomes.

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Ashley Edwards, Justin C. Ortagus, Jonathan Smith, Andria Smythe.

Using data from nearly 1.2 million Black SAT takers, we estimate the impacts of initially enrolling in an Historically Black College and University (HBCU) on educational, economic, and financial outcomes. We control for the college application portfolio and compare students with similar portfolios and levels of interest in HBCUs and non-HBCUs who ultimately make divergent enrollment decisions - often enrolling in a four-year HBCU in lieu of a two-year college or no college. We find that students initially enrolling in HBCUs are 14.6 percentage points more likely to earn a BA degree and have 5 percent higher household income around age 30 than those who do not enroll in an HBCU. Initially enrolling in an HBCU also leads to $12,000 more in outstanding student loans around age 30. We find that some of these results are driven by an increased likelihood of completing a degree from relatively broad-access HBCUs and also relatively high-earning majors (e.g., STEM). We also explore new outcomes, such as credit scores, mortgages, bankruptcy, and neighborhood characteristics around age 30.

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Beth Schueler, Liz Nigro, John Wang.

The improvement of low-performing school systems is one potential strategy for mitigating educational inequality. Some evidence suggests districtwide reform may be more effective than school-level change, but limited research examines district-level turnaround. There is also little scholarship examining the effects of turnaround reforms on outcomes beyond the first few years of implementation, on outcomes beyond test scores, or on the effectiveness of efforts to replicate district improvement successes beyond an initial reform context. We study these topics in Massachusetts, home to the Lawrence district representing a rare case of demonstrated improvements in the early years of state takeover and turnaround and where state leaders have since intervened in three other contexts as a result. We use statewide student-level administrative data (2006-07 to 2018-19) and event study methods to estimate medium-term reform impacts on test and non-test outcomes across four Massachusetts-based contexts: Lawrence, Holyoke, Springfield, and Southbridge. We find substantial district improvement was possible although sustaining the rate of gains was more complicated. Replicating gains in new contexts was also possible but not guaranteed. 

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Quentin Brummet, Lindsay Liebert, Thurston Domina, Paul Yoo, Andrew Penner.

Although existing research suggests that students benefit on a range of outcomes when they enroll in early algebra classes, policy efforts that accelerate algebra enrollment for large numbers of students often have negative effects. Explanations for this apparent contradiction often emphasize the potential role of teacher and peer effects, which could create positive effects for individual students placed into early algebra that would not translate to larger-scale policies. We use detailed data from Oregon that contain information on the teachers and peers to whom students are exposed in order to investigate these explanations. Our regression discontinuity analyses replicate key findings from prior studies, indicating that placement in eighth-grade algebra boosts student achievement in math and English language arts. We then demonstrate that eighth-grade algebra placement positively affects the achievement level of students’ classmates, as well as the years of experience and value added of students’ math teachers. The effects on peer composition that we observe are large enough to plausibly explain the majority of the effects of eighth-grade algebra on student test scores.

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Lotte van der Haar, Guthrie Gray-Lobe, Michael Kremer, Joost de Laat.

This study reports the findings from a year-long randomized evaluation assessing the impact of assigning 62 classrooms in Nigeria to receive either blocked or interleaved math problem sets. Blocked practice sessions focused on a single skill at a time. Interleaved problem sets alternated between different skills within a practice session. On tests of short-term retention, interleaved practice increased test scores by 0.29 standard deviations. In contrast, we find no evidence that interleaving improves average performance on a cumulative assessment measuring retention of material over the academic year. We find some evidence of large impacts on the cumulative assessment at the bottom of the distribution, but these impacts appear to be offset by negative impacts at the top.

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Jing Liu, Megan Kuhfeld, Monica Lee.

Noncognitive constructs such as self-e cacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource constraints. This study addresses this issue by comparing the predictive validity of two most widely used metrics on noncogntive outcomes|observable academic behaviors (e.g., absenteeism, suspensions) and student self-reported social and emotional learning (SEL) skills|for the likelihood of high school graduation and postsecondary attainment. Our  ndings suggest that conditional on student demographics and achievement, academic behaviors are several-fold more predictive than SEL skills for all long-run outcomes, and adding SEL skills to a model with academic behaviors improves the model's predictive power minimally. In addition, academic behaviors are particularly strong predictors for low-achieving students' long-run outcomes. Part-day absenteeism (as a result of class skipping) is the largest driver behind the strong predictive power of academic behaviors. Developing more nuanced behavioral measures in existing administrative data systems might be a fruitful strategy for schools whose intended goal centers on predicting students' educational attainment.

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Walter G. Ecton.

Career and Technical Education (CTE) has long played a substantial, though controversial, role within America’s public schools. While supporters argue that CTE may increase student engagement and prepare students for success in the workforce, detractors caution that CTE may inhibit students’ access to the rigorous academic coursework needed for college and high-status careers. As students’ time in high school is a relatively fixed resource, this paper seeks to better understand the extent to which CTE is associated with trade-offs within students’ high school curricula. Using a robust statewide longitudinal data system, this study explores the extent to which CTE may limit course taking in a wide range of subjects (including core academic subjects, electives, and Advanced Placement courses). Special attention is paid to how curricular trade-offs may occur differently among different student populations, keeping in mind the legacy of tracking as a long-employed mechanism for reducing opportunity. On average, results indicate that CTE courses do crowd out students’ enrollment in non-CTE elective areas, but that CTE does not lead to large declines in college preparatory coursetaking, though there are nuances for certain student populations. Overall, these findings counter longstanding narratives that CTE participation limits student access to college preparatory coursework.

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Todd R. Jones, Ezra Karger.

Criminal activity is seasonal, peaking in the summer and declining through the winter. We provide the first evidence that arrests of children and reported crimes involving children follow a different pattern: peaking during the school year and declining in the summer. We use a regression discontinuity design surrounding the exact start and end dates of the school year to show that this pattern is caused by school: children aged 10-17 are roughly 50% more likely to be involved in a reported crime during the beginning of the school year relative to the weeks before school begins. This sharp increase is driven by student-on-student crimes occurring in school and during school hours. We use the timing of these patterns and a seasonal adjustment to argue that school increases reported crime rates (and arrests) involving 10-17-year-old offenders by 47% (41%) annually relative to a counterfactual where crime rates follow typical seasonal patterns. School exacerbates preexisting sex-based and race-based inequality in reported crime and arrest rates, increasing both the Black-white and male-female gap in reported juvenile crime and arrest rates by more than 40%.

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Moussa Blimpo, Todd Pugatch.

The persistently high employment share of the informal sector makes entrepreneurship a necessity for youth in many developing countries. We exploit exogenous variation in the implementation of Rwanda’s entrepreneurship education reform in secondary schools to evaluate its effect on student economic outcomes up to three years after graduation. Using a randomized controlled trial, we evaluated a three-year intensive training for entrepreneurship teachers, finding pedagogical changes as intended and increased entrepreneurial activity among students. In this paper, we tracked students following graduation and found that increased entrepreneurship persisted one year later, in 2019. Students from treated schools were six percentage points more likely to be entrepreneurs, an increase of 19 percent over the control mean. However, gains in entrepreneurship faded after three years, in 2021. Employment was six percentage points lower in the treatment group. By some measures, income and profits were lower in the treatment group, with no robust differences in these outcomes overall. Lower incomes and profits were concentrated among marginal students induced into entrepreneurship by the program. Youth entrepreneurship programs may therefore steer some participants away from their comparative advantage. Nonetheless, the program increased university enrollment, suggesting the potential for higher long run returns.

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