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David Blazar

David Blazar.

Black teachers are critical resources for our children and schools. Pairing experimental data with rich measures of teacher mindsets and practices and varied student outcomes, I document that: (1) Black teachers in upper-elementary grades have large effects on the self-efficacy and classroom engagement of their Black students (0.7 and 0.8 SD) but not for non-Black students, potentially driven by role modeling; (2) race-matching effects on Black students’ social-emotional learning explain a moderate to large share of effects on more distal outcomes, including absences and test scores; (3) Black teachers also benefit the test scores (0.2 SD) and absences (roughly 20% decrease) of all students—no matter their race/ethnicity—that often persist many years later into high school; and (4) in addition to potential role-modeling channels, Black teachers bring unique mindsets and practices to their work (e.g., preparation for and differentiated instruction, growth mindset beliefs, well-organized classrooms) that mediate a moderate to large share of their effects on student outcomes. These findings help bridge the quantitative “teacher like me” literature with theoretical discussion and qualitative exploration on why Black teachers matter.

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Jing Liu, Cameron Conrad, David Blazar.

This study provides the first causal analysis of the impact of expanding Computer Science (CS) education in U.S. K-12 schools on students’ choice of college major and early career outcomes. Utilizing rich longitudinal data from Maryland, we exploit variation from the staggered rollout of CS course offerings across high schools. Our findings suggest that taking a CS course increases students’ likelihood of declaring a CS major by 10 percentage points and receiving a CS BA degree by 5 percentage points. Additionally, access to CS coursework raises students’ likelihood of being employed and early career earnings. Notably, students who are female, low socioeconomic status, or Black experience larger benefits in terms of CS degree attainment and earnings. However, the lower take-up rates of these groups in CS courses highlight a pressing need for targeted efforts to enhance their participation as policymakers continue to expand CS curricula in K-12 education.

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David Blazar, Cynthia Pollard.

The pursuit of multiple educational outcomes makes teaching a complex craft subject to potential conflicts and competing commitments. Using a dataset in which teachers were randomly assigned to students paired with videotapes of instruction, we both document and unpack such a tradeoff. Upper-elementary teachers who excel at raising students’ math test scores often are less successful at improving student-reported engagement in class (and vice versa). Further, the teaching practices that improve math test scores (e.g., cognitively demanding content) can simultaneously decrease engagement. At the same time, paired quantitative and qualitative analyses reveal two areas of practice that support both outcomes: active mathematics with opportunities for hands-on participation; and established routines and procedures to proactively organize the classroom environment. In addition to guiding practice-based teacher education, our mixed-methods analysis can serve as a model for rigorously studying and identifying dimensions of “good” teaching that promote multidimensional student development.

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David Blazar, Beth Schueler.

What guidance does research provide school districts about how to improve system performance and increase equity? Despite over 30 years of inquiry on the topic of effective districts, existing frameworks are relatively narrow in terms of disciplinary focus (primarily educational leadership perspectives) and research design (primarily qualitative case studies). To bridge this gap, we first review the theoretical literatures on how districts are thought to affect student outcomes, arguing that an expanded set of disciplinary perspectives—organizational behavior, political science, and economics—have distinct theories about why districts matter. Next, we conduct a systematic review of quantitative studies that estimate the relationship between district-level inputs and performance outcomes. This review reveals benefits of district-level policies that cross disciplinary perspectives, including higher teacher salaries and strategic hiring, lower student-teacher ratios, and data use. One implication is that future research on district-level policymaking needs to consider multiple disciplinary perspectives. Our review also reveals the need for significant additional causal evidence and provides a multidisciplinary map of theorized pathways through which districts could influence student outcomes that are ripe for rigorous testing.

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David Blazar, Doug McNamara, Genine Blue.

Instructional coaching is an attractive alternative to one-size-fits-all teacher training and development in part because it is purposefully differentiated: programming is aligned to individual teachers’ needs and implemented by an individual coach. But, how much of the benefit of coaching as an instructional improvement model depends on the specific coach with whom a teacher works? Collaborating with a national teacher training and development organization, TNTP, we find substantial variability in effectiveness across coaches in terms of changes in teachers’ classroom practice (0.43 standard deviations). The magnitude of coach effectiveness heterogeneity is close to average coaching program effects identified in other research. These findings suggest that identifying, recruiting, and supporting highly skilled coaches will be key to scaling instructional coaching programs.

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