EdWorkingPapers

This study contributes to the science of teaching reading by illustrating how a ubiquitous classroom practice – read alouds – can be enhanced by fostering teacher language practices that support students’ ability to read for understanding. This experimental study examines whether and to what extent providing structured teacher read aloud supplements in a social studies read aloud can allow students to leverage a familiar science schema and thereby positively impact reading comprehension outcomes. Treatment students received a single social studies read-aloud on the story of Apollo 11 with structured teacher read aloud supplements while control students received the same read-aloud story but without structured supplements. Effect sizes from hierarchical linear models indicated that students in the treatment condition significantly outperformed students in the control condition on four measures of domain-specific reading comprehension. Further exploratory analyses using structural equation modeling examined the extent that teacher language mediated the treatment effect. Results indicated that teachers going above and beyond the intervention script explained 67 percent of the treatment effect. Structured supplements for read alouds can help students see important connections between schemas, which ultimately aids in reading comprehension.

More →

We develop a unifying conceptual framework for understanding and predicting teacher shortages at the state, region, district, and school levels. We then generate and test hypotheses about geographic and subject variation in teacher shortages using data on unfilled teaching positions in Tennessee during the fall of 2019. We find that teacher staffing challenges are highly localized, causing shortages and surpluses to coexist. Aggregate descriptions of staffing challenges mask considerable variation between schools and subjects within districts. Schools with fewer local early-career teachers, smaller district salary increases, worse working conditions, and higher historical attrition rates have higher vacancy rates. Our findings illustrate why viewpoints about, and solutions to, shortages depend critically on whether one takes an aggregate or local perspective.

More →

Novice teachers improve substantially in their first years on the job, but we know remarkably little about the nature of this skill development. Using data from Tennessee, we leverage a feature of the classroom observation protocol that asks school administrators to identify an item on which the teacher should focus their improvement efforts. This “area of refinement” overcomes a key measurement challenge endemic to inferring from classroom observation scores the development of specific teaching skills. We show that administrators disproportionately identify two teaching skills when observing novice teachers: classroom management and presenting content. Struggling with classroom management, in particular, is linked to high rates of novice teacher attrition. Among those who remain, we observe subsequent improvement in these skills.

More →

Locally-elected school boards have wide discretion over allocating money among the schools in their district, yet we know relatively little about how they decide “which schools get what.” I argue that electoral incentives are one factor that can influence the distribution of resources: board members will direct spending toward schools located in neighborhoods of their district where spending will be most electorally beneficial in the next election. I test this argument using data from a discretionary school modernization program in the Los Angeles Unified School District, and find that board members distribute resources primarily to schools in competitive and moderately supportive neighborhoods, especially when running in an on-cycle election where parents make-up a larger share of the electorate and where student performance affects election outcomes. By comparison, schools in overwhelmingly opposed and supportive areas are excluded. These results suggest that local democratic control of school boards can hinder educational equality.

More →

Targeted instruction is one of the most effective educational interventions in low- and middle-income countries, yet reported impacts vary by an order of magnitude. We study this variation by aggregating evidence from prior randomized trials across five contexts, and use the results to inform a new randomized trial. We find two factors explain most of the heterogeneity in effects across contexts: the degree of implementation (intention-to-treat or treatment-on-the-treated) and program delivery model (teachers or volunteers). Accounting for these implementation factors yields high generalizability, with similar effect sizes across studies. Thus, reporting treatment-on-the-treated effects, a practice which remains limited, can enhance external validity. We also introduce a new Bayesian framework to formally incorporate implementation metrics into evidence aggregation. Results show targeted instruction delivers average learning gains of 0.42 SD when taken up and 0.85 SD when implemented with high fidelity. To investigate how implementation can be improved in future settings, we run a new randomized trial of a targeted instruction program in Botswana. Results demonstrate that implementation can be improved in the context of a scaling program with large causal effects on learning. While research on implementation has been limited to date, our findings and framework reveal its importance for impact evaluation and generalizability.

More →

The impact of test-optional college admissions policies depends on whether applicants act strategically in disclosing test scores. We analyze individual applicants’ standardized test scores and disclosure behavior to 50 major US colleges for entry in fall 2021, when Covid-19 prompted widespread adoption of test-optional policies. Applicants withheld low scores and disclosed high scores, including seeking admissions advantages by conditioning their disclosure choices on their other academic characteristics, colleges’ selectivity and testing policy statements, and the Covid-related test access challenges of the applicants’ local peers. We find only modest differences in test disclosure strategies by applicants’ race and socioeconomic characteristics.

More →

Public schools are currently a source of major political conflict, specifically with regard to issues related to LGBT representation in the curriculum. We report on a large nationally representative survey of American households focusing on their views on what LGBT topics are and should be taught, and what LGBT-themed books should be assigned and available. We report results overall and broken down by demographic, partisan, and geographic variables. We find that Americans report that they largely do not know what topics are being taught in schools, but they do not think LGBT topics are being taught to elementary children. There is widespread opposition to teaching about LGBT issues in elementary school, with more mixed support in high school. Voters are much more opposed to LGBT-themed books being assigned to students than available to them. There are very large splits in attitudes toward LGBT issues in schools, especially along political and religious lines and across states and counties based on partisan lean. We discuss implications of these findings for education policy and urge greater understanding of Americans' views about controversial topics in the curriculum.

More →

Prior research has clearly established the substantial expected payoffs to investments in early childhood education. However, the ability to deliver early childhood programs differs across communities with access to high quality programing especially hard to establish in rural communities. We study one program, Early Steps to School Success, to understand whether the provision of home visiting and book exchange programs in rural Kentucky can influence kindergarten readiness. Linking program data with the state longitudinal data system in Kentucky we create multiple comparison groups by matching children on known program qualification indicators to estimate whether Early Steps program participation was related to school readiness. Our estimates suggest that program participation resulted in small improvements to children’s kindergarten readiness, as measured by the Brigance kindergarten readiness assessment overall score and sub-scores in language, cognitive, and physical development. Results are not sensitive to our choice of comparison group, though they appear driven by the experiences of children who participate from birth through age five or from ages three-to-five only. Our findings suggest that the Early Steps home visiting intervention may be a worthwhile intervention for improving kindergarten preparedness for children living in rural contexts.

More →

Teachers’ attitudes and classroom management practices critically affect students’ academic and behavioral outcomes, contributing to the persistent issue of racial disparities in school discipline. Yet, identifying and improving classroom management at scale is challenging, as existing methods require expensive classroom observations by experts. We apply natural language processing methods to elementary math classroom transcripts to computationally measure the frequency of teachers’ classroom management language in instructional dialogue and the degree to which such language is reflective of punitive attitudes. We find that the frequency and punitiveness of classroom management language show strong and systematic correlations with human-rated observational measures of instructional quality, student and teacher perceptions of classroom climate, and student academic outcomes. Our analyses reveal racial disparities and patterns of escalation in classroom management language. We find that classrooms with higher proportions of Black students experience more frequent and more punitive classroom management. The frequency and punitiveness of classroom management language escalate over time during observations, and these escalations occur more severely for classrooms with higher proportions of Black students. Our results demonstrate the potential of automated measures and position everyday classroom management interactions as a critical site of intervention for addressing racial disparities, preventing escalation, and reducing punitive attitudes.

More →

‘QuantCrit’ (Quantitative Critical Race Theory) is a rapidly developing approach that seeks to challenge and improve the use of statistical data in social research by applying the insights of Critical Race Theory. As originally formulated, QuantCrit rests on five principles; 1) the centrality of racism; 2) numbers are not neutral; 3) categories are not natural; 4) voice and insight (data cannot ‘speak for itself); and 5) a social justice/equity orientation (Gillborn et al, 2018). The approach has quickly developed an international and interdisciplinary character, including applications in medicine (Gerido, 2020) and literature (Hammond, 2019). Simultaneously, there has been ferocious criticism from detractors outraged by the suggestion that numbers are anything other than objective and scientific (Airaksinen, 2018). In this context it is vital that the approach establishes some common understandings about good practice; in order to sustain rigor, make QuantCrit accessible to academics, practioners, and policymakers alike, and resist widespread attempts to over-simplify and pillory. This paper is intended to advance an iterative process of expanding and clarifying how to ‘QuantCrit’.

More →