EdWorkingPapers

Building on a previous meta-analysis of the literature on teacher attrition and retention by leveraging studies with longitudinal data and a modern systematic search process, this updated comprehensive meta-analysis synthesizes findings from 120 studies on the factors of teacher attrition and retention. We find the research on teacher attrition has grown substantially over the last thirteen years, both on the factors that are examined as well as the increased specificity and nuanced operationalization of existing factors. Consequently, we expand the conceptual framework to include four new categories of these factors and organize existing and new categories into three broad groups of factors, namely personal, school, and external correlates. We discuss our findings of how these factors are associated with teacher attrition and contrast them with previous findings. We also discuss the policy implications of our findings.

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Prior work suggests that recent graduates from teacher education programs feel better prepared to teach and are more instructionally effective when they learned to teach with more instructionally effective cooperating teachers. However, we do not know if these relationships are causal. Even if they are, we do not know if it is possible to recruit cooperating teachers who are, on average, significantly more effective than those currently serving. This paper describes an innovative strategy to use historical administrative on teachers to recommend the most instructionally effective and experienced teachers in various districts and subject areas to serve as cooperating teachers. In collaboration with a large teacher education program, partnering districts were randomized to receive either recommendation lists or use business-as-usual approaches. Those districts that received recommendations recruited significantly and meaningfully more effective and experienced cooperating teachers. Additionally, preservice student teachers who learned to teach in these same districts felt significantly better prepared to teach. This study offers an innovative and low-cost strategy for recruiting effective and experienced cooperating teachers and presents some of the first evidence that learning to teach with instructionally effective cooperating teachers has a causal impact on feelings of preparedness to teach.

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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.

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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.

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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.

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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.

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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.

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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.
 

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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. 

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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.

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