For students who show inadequate response to research-based intervention, intensification of intervention using data-based decision making (DBDM) is recommended. There is a paucity of research on upper elementary students related to the efficacy of (a) word reading interventions and (b) DBDM procedures. This randomized controlled trial examined…

Internationally, there has been a policy push for using student data for instruction. Yet, research has noted few examples of actually understanding how this data-use practice takes place. This study presents a case of an instructional data team making sense of student data. The study shares data to show how teachers' process for using data to…

Data-based decision making (DBDM) is presumed to improve student performance in elementary schools in all subjects. The majority of studies in which DBDM effects have been evaluated have focused on mathematics. A hierarchical multiple single-subject design was used to measure effects of a 2-year training, in which entire school teams learned how…

Despite the emphasis on data-based decision making (DBDM) in educational policy in several countries, evidence regarding the intended effect of improved student achievement is still scarce. The purpose of this study is to examine the effects of a DBDM intervention on teacher efficacy. This study incorporates an experimental longitudinal research…

Purpose: The purpose of this paper is to examine how data are used in classroom placement routines. The authors explore educators' assumptions about the purposes of the classroom placement routine, detailing the ostensive (i.e. structure and template) and performative aspects of the routine itself, and the implications of data use for equity and…

Success in Sight focuses on the interrelated parts of an education system. This systemic school improvement intervention is designed to address schools' specific needs while building their capacities to plan, implement, and evaluate school improvement practices. It is intended to help schools, leadership teams, and teachers systemically engage in…

To meet the constantly changing needs of schools and diverse learners, educators must frequently monitor student learning, revise curricula, and improve instruction. Consequently, it is critical that careful analyses of student performance data are ongoing components of curriculum decision-making processes. The primary purpose of this study is to…

This mixed design study investigated the predictive and instructional uses of two different types of interim mathematics assessments given in two different districts. One district administered the same summative type of assessment three times a year, while the other district administered a different interim assessment after six-week intervals of…

Accountability in education has prompted policy makers and practitioners to focus on data use for instructional and organizational decision-making. The popular media have seized on Value Added (VA) measures as a key type of data use for reforming U.S. schools. Among education researchers, however, there are both critics and proponents. We examined…

Accelerating the acquisition of reading skills in at-risk third- through sixth-grade students is critically important if educators expect to meet federal and state performance targets and also meet children's needs. In an attempt to rapidly advance learning in reading, a large urban school district provided a group of 2,227 students performing…

The purpose of this study was to determine if there was a difference in how high and low performing elementary school districts use and analyze data to differentiate instruction, make changes to district/grade level curriculum, determine professional development needs, determine teacher effectiveness, and determine the use of school district…

The purpose of this mixed methods phenomenological study was to explore the data-driven instructional decisions that elementary teachers make in literacy. Educators have moved towards a culture of being data-driven, and have declared data use in schools to be significant to school improvement and accountability (Marsh, Pane, & Hamilton, 2006).…

Education leaders and much literature exhort teachers and school leaders to use data more often and more effectively to guide planning and decision making--called, "data driven decision making." This term is ubiquitous in literature and reform discourse, but "on the ground," so to speak, practitioners face significant challenges in analyzing,…

Using data for school improvement is a key goal of Race to the Top, and now is the time to make data-driven school improvement a priority. However, many educators are drowning in data. Boost your professional learning community's ability to translate data into action with this new book from Pam Robbins and Robert T. Hess. "The Data Toolkit"…

The purpose of this study was to evaluate the impact (positive, negative, or neutral) of Accelerated Readers (AR), a standard based intervention, on the academic achievement of English Language Learners at Carolina Herrera Elementary School. Carolina Herrera Elementary School, was analyzed using these specific lenses: (1) curriculum and…