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Educator preparation, professional development, performance and evaluation
We show that fade out biases value-added estimates at the teacher-level. To do so, we use administrative data from North Carolina and show that teachers' value-added depend on the quality of the teacher that preceded them. Value-added estimators that control for fade out feature no such teacher-level bias. Under a benchmark policy that releases teachers in the bottom five percent of the value-added distribution, fifteen percent of teachers released using traditional techniques are not released once fade out is accounted for. Our results highlight the importance of incorporating dynamic features of education production into the estimation of teacher quality.
Teachers are among the most important school-provided determinants of student success. Effective teachers improve students’ test scores as well as their attendance, behavior, and earnings as adults. However, students do not enjoy equal access to effective teachers. This article reviews some of the key challenges associated with teacher policy confronted by school leaders and education policymakers, and how the tools of applied economics can help address those challenges. The first challenge is that identifying effective teachers is difficult. Economists use value-added models to estimate teacher effectiveness, which works well in certain circumstances, but should be just one piece of a multi-measure strategy for identifying effective teachers. We also discuss how different policies, incentives, school characteristics, and professional-development interventions can increase teacher effectiveness; this is important, as schools face the daunting challenge of hiring effective teachers, helping teachers to improve, and removing ineffective teachers from the classroom. Finally, we discuss the supply and mobility of teachers, including the consequences of teacher absenteeism, the distribution of initial teaching placements, and the characteristics and preferences of those who enter the profession.
This study investigates the influence of principal tenure on the retention rates of the teachers they hire over time. We analyzed the hiring practices and teacher retention rates of 11,717 Texas principals from 1999 to 2017 employing both individual and year fixed effects. Main findings indicate that a principal who stays in the same school for at least three years begins to hire teachers who stay to both three- and five-year benchmarks at increasingly higher rates. However, the average Texas principal leaves a school after four years and while we do find small positive gains in the initial retention rates of teachers at the next school, the majority of principal improvement in teacher retention does not appear to be portable.
We study an early effort amid the Covid-19 pandemic to develop new approaches to virtually serving students, supporting teachers, and promoting equity. This five-week, largely synchronous, summer program served 11,769 rising 4th-9thgraders. “Mentor teachers” provided PD and videos of themselves teaching daily lessons to “partner teachers” across the country. We interviewed a representative sample of teachers and analyzed educator, parent, and student surveys. Stakeholders perceived that students made academic improvements, and the content was rigorous, relevant, and engaging. Teachers felt their teaching improved and appreciated receiving adaptable curricular materials. Participants wanted more relevant math content, more differentiated development, and less asynchronous movement content. Findings highlight promising strategies for promoting online engagement and exploiting virtual learning to strengthen teacher development.
Researchers have noted the importance of equity-based approaches to social and emotional learning (SEL), which emphasize the role of school environment, including adult beliefs, in student well-being. This article builds on this work by examining 129 teachers’ perceptions of efficacy in SEL. While participants worked in urban schools, were selected from national fellowship programs, and had similar years of experience and preparation, survey data found that teachers in one program reported higher levels of efficacy in SEL. Interviews and observations with a purposeful sample of these teachers found that despite common challenges with exclusionary discipline practices and limited resources, efficacious teachers described a “social justice learning community,” geared for teachers of color, that enhanced their capacities to enact SEL in their schools. Discussion includes the need for critical professional development opportunities in SEL that are race-conscious, context-specific, and asset-based, as well as opportunities for teachers from historically marginalized groups to form specialized learning communities.
At least sixteen US states have taken steps toward holding teacher preparation programs (TPPs) accountable for teacher value-added to student test scores. Yet it is unclear whether teacher quality differences between TPPs are large enough to make an accountability system worthwhile. Several statistical practices can make differences between TPPs appear larger and more significant than they are. We reanalyze TPP evaluations from 6 states—New York, Louisiana, Missouri, Washington, Texas, and Florida—using appropriate methods implemented by our new caterpillar command for Stata. Our results show that teacher quality differences between most TPPs are negligible—.01-.03 standard deviations in student test scores—even in states where larger differences were reported previously. While ranking all a state’s TPPs may not be possible or desirable, in some states and subjects we can find a single TPP whose teachers stand out as significantly above or below average. Such exceptional TPPs may reward further study.
For nearly three decades, policy-makers and researchers in the United States have promoted more intellectually rigorous standards for mathematics teaching and learning. Yet, to date, we have limited descriptive evidence on the extent to which reform-oriented instruction has been enacted at scale.
The purpose of the study is to examine the prevalence of reform-aligned mathematics instructional practices in five U.S. school districts. We also seek to describe the range of instruction students experience by presenting case studies of teachers at high, medium and low levels of reform alignment.
We draw on 1,735 video-recorded lessons from 329 elementary teachers in these five U.S. urban districts.
We present descriptive analyses of lesson scores on a mathematics-focused classroom observation instrument. We also draw upon interviews with district personnel, rater-written lesson summaries, and lesson video in order to develop case studies of instructional practice.
We find that teachers in our sample do use reform-aligned instructional practices, but that they do so within the confines of traditional lesson formats. We also find that the implementation of these instructional practices varies in quality. Furthermore, the prevalence and strength of these practices corresponds to the coherence of district efforts at instructional reform.
Our findings suggest that unlike other studies in which reform-oriented instruction rarely occurred (e.g. Kane & Staiger, 2012), reform practices do appear to some degree in study classrooms. In addition, our analyses suggest that implementation of these reform practices corresponds to the strength and coherence of district efforts to change instruction.
Researchers are rarely satisfied to learn only whether an intervention works, they also want to understand why and under what circumstances interventions produce their intended effects. These questions have led to increasing calls for implementation research to be included in high quality studies with strong causal claims. Of critical importance is determining whether an intervention can be delivered with adherence to a standardized protocol, and the extent to which an intervention protocol can be replicated across sessions, sites, and studies. When an intervention protocol is highly standardized and delivered through verbal interactions with participants, a set of natural language processing (NLP) techniques termed semantic similarity can be used to provide quantitative summary measures of how closely intervention sessions adhere to a standardized protocol, as well as how consistently the protocol is replicated across sessions. Given the intense methodological, budgetary and logistical challenges for conducting implementation research, semantic similarity approaches have the benefit of being low-cost, scalable, and context agnostic for use. In this paper, we demonstrate how semantic similarity approaches may be utilized in an experimental evaluation of a coaching protocol on teacher pedagogical skills in a simulated classroom environment. We discuss strengths and limitations of the approach, and the most appropriate contexts for applying this method.
We study the adoption and implementation of a new mobile communication app among a sample of 132 New York City public schools. The app provides a platform for sharing general announcements and news as well as engaging in personalized two-way communication with individual parents. We provide participating schools with free access to the app and randomize schools to receive intensive support (training, guidance, monitoring, and encouragement) for maximizing the efficacy of the app. Although user supports led to higher levels of communication within the app in the treatment year, overall usage remained low and declined in the following year when treatment schools no longer received intensive supports. We find few subsequent effects on perceptions of communication quality or student outcomes. We leverage rich internal user data to explore how take-up and usage patterns varied across staff and school characteristics. These analyses help to identify early adopters and reluctant users, revealing both opportunities and obstacles to engaging parents through new communication technology.
This article takes stock of where the field of behavioral science applied to education policy seems to be at, which avenues seem promising and which ones seem like dead ends. I present a curated set of studies rather than an exhaustive literature review, categorizing interventions by whether they nudge (keep options intact) or “shove” (restrict choice), and whether they apply a high or low touch (whether they use face-to-face interaction or not). Many recent attempts to test large-scale low touch nudges find precisely estimated null effects, suggesting we should not expect letters, text messages, and online exercises to serve as panaceas for addressing education policy’s key challenges. Programs that impose more choice-limiting structure to a youth’s routine, like mandated tutoring, or programs that nudge parents, appear more promising.