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We explore the intergenerational occupational transmission between parents and their children as it pertains to entry into the STEM field. Using the Education Longitudinal Study of 2002, we study student’s aspirations to work in a STEM field and eventual STEM education and employment. We show how these patterns change depending on whether the student’s parents work in a STEM field. We find strong effects of parental occupation type on student’s STEM outcomes that are heterogeneous by student gender. High school boys are more likely to aspire to work in STEM if one of their parents do so. By adulthood, both boys and girls have a higher probability of majoring and working in a STEM field if their parents also do, and in this case, estimated effects are stronger for girls despite a lack of effects on high school girls’ aspirations. For girls but not for boys, having a parent working in STEM increases the probability of entering the STEM field in adulthood above and beyond aspirations to enter the STEM field during adolescence.
Access to private schools and public charter schools might improve parent and student satisfaction through competitive pressures and improved matches between educators and students. Using a nationally representative sample of 13,436 students in the United States in 2016, I find that public charter schools and private schools outperform traditional public schools on six measures of parent and student satisfaction. Respondents with children in private schools also tend to report higher levels of satisfaction than respondents with children in public charter schools. The results are robust to various analytic techniques and specifications.
The My Brother’s Keeper (MBK) Challenge developed by President Obama supports communities that promote civic initiatives designed to improve the educational and economic opportunities specifically for young men of color. In Oakland, California, the MBK educational initiative features the African American Male Achievement (AAMA) program. The AAMA focuses on regularly scheduled classes exclusively for Black, male students and taught by Black, male teachers who focus on social-emotional training, African-American history, culturally relevant pedagogy, and academic supports. In this study, we present quasi-experimental evidence on the dropout effects of the AAMA by leveraging its staggered scale-up across high schools in the Oakland Unified School District (OUSD). We find that AAMA availability led to a significant reduction in the number of Black males who dropped out as well as smaller reductions among Black females, particularly in 9th grade.
We explore the potential for mobile technology to facilitate more frequent and higher-quality teacher-parent communication among a sample of 132 New York City public schools. We provide participating schools with free access to a mobile communication app and randomize schools to receive intensive training and guidance for maximizing the efficacy of the app. User supports led to substantially higher levels of communication within the app in the treatment year, but had few subsequent effects on perceptions of communication quality or student outcomes. Treatment teachers used the app less frequently the following year when they no longer received communication tips and reminders. We analyze internal user data to suggest organizational policies schools might adopt to increase the take-up and impacts of mobile communication technology.
This paper presents new experimental estimates of the impact of low-ability peers on own outcomes using nationally representative data from China. We exploit the random assignment of students to junior high school classrooms and find that the proportion of low-ability peers, defined as having been retained during primary school (“repeaters”), has negative effects on non-repeaters’ cognitive and non-cognitive outcomes. An exploration of the mechanisms shows that a larger proportion of repeater peers is associated with reduced after-school study time. The negative effects are driven by male repeaters and are more pronounced among students with less strict parental monitoring at home.
More than half of U.S. children fail to meet proficiency standards in mathematics and science in fourth grade. Teacher professional development and curriculum improvement are two of the primary levers that school leaders and policymakers use to improve children’s science, technology, engineering and mathematics (STEM) learning, yet until recently, the evidence base for understanding their effectiveness was relatively thin. In recent years, a wealth of rigorous new studies using experimental designs have investigated whether and how STEM instructional improvement programs work. This article highlights contemporary research on how to improve classroom instruction and subsequent student learning in STEM. Instructional improvement programs that feature curriculum integration, teacher collaboration, content knowledge, pedagogical content knowledge, and how students learn all link to stronger student achievement outcomes. We discuss implications for policy and practice.
Despite substantial evidence that resources and outcomes are transmitted across generations, there has been limited inquiry into the extent to which anti-poverty programs actually disrupt the cycle of bad outcomes. We explore how the effects of the United States’ largest early childhood program, Head Start, transfer across generations. We leverage the rollout of this federally funded, means-tested preschool program to estimate the effect of early childhood exposure among mothers on their children’s long-term outcomes. We find evidence of intergenerational transmission of effects in the form of increased educational attainment, reduced teen pregnancy, and reduced criminal engagement in the second generation.
In an effort to reduce the STEM gender gap, policymakers often propose providing women with close mentoring by female scientists. This is based on the idea that female scientists might act as role models and counteract negative gender stereotypes that are pervasive in science fields. However, as of yet, there is still no clear evidence on the role of mentor or advisor gender in reducing the STEM gender gap. We use rich administrative data from a private 4-year college to provide some of the first causal evidence on the impact of advisor gender on women's STEM degree attainment. We exploit a unique setting where students are randomly assigned to academic advisors--who are also faculty members--in their freshman year of college. We find that being matched to a female rather than a male science advisor substantially narrows the gender gaps in STEM enrollment and graduation, with the strongest effects occurring among students who are highly skilled in math. In contrast, the gender of an advisor from a non-science department has no impact on students' major choice. Our results indicate that providing close mentoring or advising by female scientists can play an important role in promoting women's participation and persistence in STEM fields.
Existing research on self-management skills shows that measures of self-management predict student success. However, these conclusions are based on small samples or narrowly defined self-management measures. Using a rich longitudinal dataset of 221,840 fourth through seventh grade students, this paper describes self-management gaps across student groups, and confirms, at a large scale, the predictive power of self-management for achievement gains, even with unusually rich controls for students’ background, previous achievement, and measures of other social-emotional skills. Self-management is a better predictor of student learning than are other measures of socioemotional skills. Average growth in English language arts due to changing from a low to a high level of self-management is between 0.091 and 0.112 standard deviations, equivalent to almost 80 days of learning.
This paper reports improvements in teacher job performance, as measured by student test scores, resulting from a program of (zero-) low-stakes peer evaluation. Teachers working at the same school observed and scored each other’s teaching. Students in randomly-assigned treatment schools scored 0.07σ higher on math and English exams (0.09σ lower-bound on TOT). Within each treatment school, teachers were further randomly assigned to roles: observer and observee. Teachers in both roles improved, perhaps slightly more for observers. The typical treatment school completed 2-3 observations per observee teacher. Variation in observations was generated partly by randomly assigning a low and high (2*low) dose of suggested number of observations. Benefits were quite similar across dose conditions.