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Parents and communities
This report synthesizes the research evidence about the impact of community schools on student and school outcomes. Its aim is to support and inform school, community, district, and state leaders as they consider, propose, or implement community schools as a strategy for providing equitable, high-quality education to all young people. We conclude that well-implemented community schools lead to improvement in student and school outcomes and contribute to meeting the educational needs of low-achieving students in high-poverty schools, and sufficient research exists to meet the Every Student Succeeds Act (ESSA) standard for an evidence-based intervention.
We study the transmission of beliefs about gender differences in math ability from adults to children and how this affects girls’ academic performance relative to boys. We exploit randomly assigned variation in the proportion of a child’s middle school classmates whose parents believe boys are innately better than girls at learning math. An increase in exposure to peers whose parents report this belief increases a child’s likelihood of believing it, with similar effects for boys and girls and greater effects from peers of the same gender. This exposure also affects children’s perceived difficulty of math, aspirations, and math performance, generating gains for boys and losses for girls.
We study within-family spillovers in college enrollment to show college-going behavior is transmissible between peers. Because siblings’ test scores are weakly correlated, we exploit college-speciﬁc admissions thresholds that directly affect older but not younger siblings’ college options. Older siblings’ admissibility substantially increases their own four-year college enrollment rate and quality of college attended. Their improved college choices in turn raise younger siblings’ college enrollment rate and quality of college chosen, particularly for families with low predicted probabilities of college enrollment. Some younger siblings follow their older sibling to the same campus but many upgrade by choosing other colleges. The observed spillovers are not well-explained by price, income, proximity or legacy effects, but are most consistent with older siblings transmitting otherwise unavailable information about the college experience and its potential returns. The importance of such personally salient information may partly explain persistent differences in college-going rates by income, geography and other characteristics that deﬁne a community.
Despite wide achievement gaps across California between students from different racial and socioeconomic backgrounds, some school districts have excelled at supporting the learning of all their students. This analysis identifies these positive outlier districts—those in which students of color, as well as White students, consistently achieve at higher levels than students from similar racial/ethnic backgrounds and from families of similar income and education levels in most other districts. These results are predicted, in significant part, by the qualifications of districts’ teachers, as measured by their certification and experience. In particular, the proportion of underprepared teachers—those teaching on emergency permits, waivers, and intern credentials—is associated with decreased achievement for all students, while teaching experience is associated with increased achievement, especially for students of color.
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.
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.
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.
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.
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.