The SDP Toolkit for Effective Data Use is a resource guide for education agency analysts who collect and analyze data on student achievement. Completing the toolkit produces a set of basic, yet essential, human capital and college-going analyses that every education agency should have as a foundation to inform strategic management and policy decisions.
The SDP Strategic Use of Data Rubric is a resource to provide direction and support to education organizations in their efforts to transform their use of data. The rubric establishes a common language and framework to more clearly illustrate what effective data use at the system level can look like.
Learn more and download the rubric [SDP website]
This case illustrates how the work of leaders and analysts in the Delaware Department of Education (DDOE) and the agency’s partnership with the Strategic Data Project (SDP), a program of the Center for Education Policy Research at Harvard University, created momentum for statewide policy change. By exploring Delaware leaders’ use of data and analytics to challenge assumptions and inform the development of better policies and practices, the case illustrates the importance of leadership, analytic and technical competency, and strategic partnerships when leading education reform. The case specifically highlights the power of human capital analytics to diagnose the current status of Delaware’s educator pipeline, from preparation through development and retention, and how effectively communicating with these analyses built coalitions of support and drove a culture of data use at both the state and district level.
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This paper combines information from classroom-based observations and measures of teachers’ ability to improve student achievement as a step toward addressing the challenge of identifying effective teachers and teaching practices. The authors find that classroom-based measures of teaching effectiveness are related in substantial ways to student achievement growth. The authors conclude that the results point to the promise of teacher evaluation systems that would use information from both classroom observations and student test scores to identify effective teachers. Information on the types of practices that are most effective at raising achievement is also highlighted.
The authors used self-report surveys to gather information on a broad set of non-cognitive skills from 1,368 eighth-grade students attending Boston Public Schools and linked this information to administrative data on their demographics and test scores. At the student level, scales measuring conscientiousness, self-control, grit, and growth mindset are positively correlated with attendance, behavior, and test-score gains between fourth- and eighth-grade. Conscientiousness, self-control, and grit are unrelated to test-score gains at the school level, however, and students attending over-subscribed charter schools with higher average test-score gains score lower on these scales than do students attending district schools. Exploiting charter school admissions lotteries, the authors replicate previous findings indicating positive impacts of charter school attendance on math achievement, but find negative impacts on these non-cognitive skills. The authors provide suggestive evidence that these paradoxical results are driven by reference bias, or the tendency for survey responses to be influenced by social context. The results therefore highlight the importance of improved measurement of non-cognitive skills in order to capitalize on their promise as a tool to inform education practice and policy.
Center researchers John Papay, Martin West, Jon Fullerton, and Thomas Kane investigate the effectiveness of the Boston Teacher Residency (BTR) in their working paper Does Practice-Based Teacher Preparation Increase Student Achievement? Early Evidence from the Boston Teacher Residency. BTR is an innovative practice-based preparation program in which candidates work alongside a mentor teacher for a year before becoming a teacher of record in Boston Public Schools.
Whether using the randomized lotteries or statistical controls for measured background characteristics, we generally find large positive effects for Charter Schools, at both the middle school and high school levels. For each year of attendance in middle school, we estimate that Charter Schools raise student achievement .09 to .17 standard deviations in English Language Arts and .18 to .54 standard deviations in math relative to those attending traditional schools in the Boston Public Schools. The estimated impact on math achievement for Charter middle schools is extraordinarily large. Increasing performance by .5 standard deviations is the same as moving from the 50th to the 69th percentile in student performance. This is roughly half the size of the blackwhite achievement gap. In high school, the estimated gains are somewhat smaller than in middle school: .16 to .19 standard deviations in English Language Arts; .16 to .19 in mathematics; .2 to .28 in writing topic development; and .13 to .17 in writing composition with the lottery-based results. The estimated impacts of middle schools and high school Charters are similar in both the “observational” and “lottery-based” results.
Researchers from the Harvard Graduate School of Education, MIT, and the University of Michigan have released the results of a new study that suggests that urban charter schools in Massachusetts have large positive effects on student achievement at both the middle and high school levels. Results for nonurban charter schools were less clear; some analyses indicated positive effects on student achievement at the high school level, while results for middle school students were much less encouraging.