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Educator preparation, professional development, performance and evaluation
Personnel evaluation systems have historically failed to identify and remediate low-performing teachers. In 2012, Chicago Public Schools implemented an evaluation system that incorporated remediation and dismissal plans for low-rated teachers. Regression discontinuity estimates indicate that the evaluation reform increased the exit of low-rated tenured teachers by 50 percent. The teacher labor supply available to replace low-rated teachers was higher performing on multiple dimensions, and instrumental variables estimates indicate that policy-induced exit of low-rated teachers significantly improved teacher quality in subsequent years. Policy simulations show that the teacher labor supply in Chicago is sufficient to remove significantly more low-performing teachers.
Principals shape the academic setting of schools. Yet, there is limited evidence on whether principal professional development improves schooling outcomes. Beginning in 2008-09, Pennsylvania’s Inspired Leadership (PIL) induction program required that newly hired principals complete targeted in-service professional development tied to newly established state leadership standards within five years of employment. Using panel data on all Pennsylvania students, teachers, and principals, we leverage variation in the timing of PIL induction across principal-school cells and employ difference-in-differences and event study strategies to estimate the impact of PIL induction on teacher and student outcomes. We find that PIL induction increased student math achievement through improvements in teacher effectiveness, and that the effects of PIL induction on teacher effectiveness were concentrated among the most economically disadvantaged and urban schools in Pennsylvania. Principal professional development had the greatest impact on teacher effectiveness when principals completed PIL induction during their first two years in the principalship. We also find evidence that teacher turnover declined in the years following the completion of PIL induction. We discuss the implications of our findings for principal induction efforts.
Providing consistent, individualized feedback to teachers is essential for improving instruction but can be prohibitively resource intensive in most educational contexts. We develop an automated tool based on natural language processing to give teachers feedback on their uptake of student contributions, a high-leverage teaching practice that supports dialogic instruction and makes students feel heard. We conduct a randomized controlled trial as part of an online computer science course, Code in Place (n=1,136 instructors), to evaluate the effectiveness of the feedback tool. We find that the tool improves instructors’ uptake of student contributions by 24% and present suggestive evidence that our tool also improves students’ satisfaction with the course. These results demonstrate the promise of our tool to complement existing efforts in teachers’ professional development.
Narrative accounts of classroom instruction suggest that external interruptions, such as intercom announcements and visits from staff, are a regular occurrence in U.S. public schools. We study the frequency, nature, and duration of external interruptions in the Providence Public School District (PPSD) using original data from a district-wide survey and classroom observations. We estimate that a typical classroom in PPSD is interrupted over 2,000 times per year, and that these interruptions and the disruptions they cause result in the loss of between 10 to 20 days of instructional time. Administrators appear to systematically underestimate the frequency and negative consequences of these interruptions. We propose several organizational approaches schools might adopt to reduce external interruptions to classroom instruction.
Although the majority of elementary school teachers are in self-contained classrooms and teach all major subjects, a growing number of teachers specialize in teaching fewer subjects to higher numbers of students. We use administrative data from Indiana to estimate the effect of teacher specialization on teacher and school effectiveness in elementary schools. We find that teacher specialization leads to lower teaching effectiveness in math and reading, and the negative effects are larger when teaching students who are more likely to experience difficulties in school. Moreover, we find no evidence that increasing the proportion of teacher specialists at the school level generates improvements in indicators of school quality.
State and local education agencies across the country are prioritizing the goal of diversifying the teacher workforce. To further understand the challenges of diversifying the teacher pipeline, I investigate race and gender dynamics between teachers and school-based administrators, who are key decision-makers in hiring, evaluating, and retaining teachers. I use longitudinal data from a large school district in the southeastern United States to examine the effects of race-congruence and gender-congruence between teachers and observers/administrators on teachers’ observation scores. Using models with two-way fixed effects, I find that teachers, on average, experience small positive increases in their scores from sharing race or gender with their observers, raising fairness concerns for teachers whose race or gender identities are not reflected by any of their raters.
Many novice teachers learn to teach “on-the-job,” leading to burnout and attrition among teachers and negative outcomes for students in the long term. Pre-service teacher education is tasked with optimizing teacher readiness, but there is a lack of causal evidence regarding effective ways for preparing new teachers. In this paper, we use a mixed reality simulation platform to evaluate the causal effects and robustness of an individualized, directive coaching model for candidates enrolled in a university-based teacher education program, as well as for undergraduates considering teaching as a profession. Across five conceptual replication studies, we find that targeted, directive coaching significantly improves candidates’ instructional performance during simulated classroom sessions, and that coaching effects are robust across different teaching tasks, study timing, and modes of delivery. However, coaching effects are smaller for a sub-population of participants not formally enrolled in a teacher preparation program. These participants differed from teacher candidates in multiple ways, including by demographic characteristics, as well as by their prior experiences learning about instructional methods. We highlight implications for research and practice.
One of the most obvious and not sufficiently well understood political decisions in education regards the optimal amount of instruction time required to improve academic performance. This paper considers an unexpected, exogenous regulatory change that reduced the school calendar of non-fee-paying schools (public and charter schools) in the Madrid region (Spain) by two weeks during the 2017/2018 school year. Using difference-in-differences regression, we found that this regulatory change contributed to a significant deterioration in academic performance, particularly in Spanish and English. We further explored non-linear (quantile) effects across the distribution of scores in standardized exams, finding that the disruption due to the new regulations affected more students in the upper quartile of the distribution. Overall, we found a reduction in the gap across non-fee-paying schools and an increase in the gap between non-fee- and fee-paying schools (private schools).
Many prior studies have examined whether there are average differences in levels of teaching effectiveness among graduates from different teacher preparation programs (TPPs); other studies have investigated which features of preparation predict graduates’ average levels of teaching effectiveness. This is the first study to examine whether there are average differences between TPPs in terms of graduates’ average growth, rather than levels, in teaching effectiveness, and to consider which features predict this growth. Examining all graduates from Tennessee TPPs from 2010 to 2018, we find meaningful differences between TPPs in terms of both levels and growth in teaching effectiveness. We also find that different TPP features, including areas of endorsement, program type, clinical placement type and length, program size, and faculty composition explain part of these differences. Yet, the features that predict initial teaching effectiveness are not the same features that predict growth.
This study investigates whether a principal’s likelihood of hiring a teacher of color is sensitive to the racial composition of students in the school. We used an administrative dataset from Texas including 59,157 principal observations and 662,997 teacher observations spanning 2000 to 2017 in order to consider whether or not the disappearing diversity from a majority white school is a factor in principals’ decisions to hire teachers of color. We examined the hiring patterns of principals within schools where 50% of the students were white and compared the probability that a nonwhite teacher would be hired as the homogeneity of the student body increased (that is, as increasing proportions of the student body were white). We found that white principals were less likely to hire teachers of color as the proportion of white students approached 100%. This study provides initial evidence that teacher hires are not only sensitive to the principal’s race but also to the racial composition of the student body. Specifically, as the diversity of the student body disappears, so too does the principal’s likelihood of hiring a teacher of color.