In causal matching designs, some control subjects are often left unmatched, and some covariates are often left unmodeled. This article introduces "rebar," a method using high-dimensional modeling to incorporate these commonly discarded data without sacrificing the integrity of the matching design. After constructing a match, a researcher…

Data has played an important role in England's recent school improvement journey. The evolution of the approach has not been perfect but the National Pupil Database has become a vital tool for health checking the education system, driving accountability, directing education policymaking, and tracking the educational attainment of key vulnerable…

The implementation of personalized learning (PL) models is growing rapidly; however, research on these models is limited. In particular, little is known about teachers' experiences as they implement technology-based PL models. Additionally, few studies have sought to understand how teachers make sense of PL. Examining teachers' experiences with…

This report presents the underlying theory and methodology of the first framework to operationalize culture and culturally responsiveness in the context of Positive Behavioral Interventions and Supports. Created following a systematic review of literature, this framework was created as a cultural artifact to expand the conceptualization of the…

This study investigates: (1) how principals' data-driven practices may vary by principals' and school backgrounds and how that changes over time; (2) how principals' data-driven practices influence teacher buy-in; and (3) how principals' data-driven practices and teachers' buy-in influence student outcomes. This study uses data from the Study of…

Large-scale assessment (LSA) is a tool used by education authorities for several purposes, including the promotion of teacher-based instructional change. In Canada, all 10 provinces engage in large-scale testing across several grade levels and subjects, and also have the common expectation that the results data will be used to improve instruction…

Empirical evidence on the way in which expert designers from different domains cognitively connect their internal processes with external resources is presented in the context of an extended cognition model. The article focuses briefly on the main trends in the extended design cognition theory and in particular on recent trends in information…

All programs of healthcare education face increasing change and daunting challenges to prepare new graduates for the real world of practice as care providers in complex systems. The necessity for change in nursing education is at a critical level, called on from a variety of sources. New nurses must be able to enter practice as competent, safe,…

The expectation that educators will use data in the service of school improvement and planning is a major feature of national and local reform agendas. Prior research has found that the principal plays a critical role in making policymakers' visions for data use a reality at the school and classroom levels. Most prior studies, however, have not…

A district-level reform model created by the Center for Data-Driven Reform in Education (CDDRE) provided consultation with district leaders on strategic use of data and selection of proven programs. Fifty-nine districts in seven states were randomly assigned to CDDRE or control conditions. A total of 397 elementary and 225 middle schools were…

This paper uses methods derived from the field of futures studies to explore the future of technology-enhanced assessment. Drawing on interviews and consultation activities with experts, the paper aims to discuss the conditions that can impede or foster "innovation" in assessment and education more broadly. Through a review of relevant…

Across the nation, states and districts are in the process of building better teacher evaluation systems that not only identify highly effective teachers but also systematically provide data and feedback that can be used to improve teacher practice. The "Practical Guide to Designing Comprehensive Teacher Evaluation Systems" is a tool…

The expectation that teachers will use student achievement data to improve their instruction is a major feature of national and local reform agendas. The theory of action behind data-driven decision making is a mostly causal model of professional action, whereby teachers diagnose weaknesses and implement solutions. The purpose of this article is…

Raise the level of rigor in your school and dramatically improve student learning with the tools in this book. Each illuminating exercise is tailored to educators looking to spread the word on rigor and beat the obstacles to achieving it schoolwide. Formatted for duplication and repeated use, these tools are perfect for those who currently hold a…

"The Infrastructure of Accountability" brings together leading and emerging scholars who set forth an ambitious conceptual framework for understanding the full impact of large-scale, performance-based accountability systems on education. Over the past 20 years, schools and school systems have been utterly reshaped by the demands of…