Joseph P. McDonald reports findings from a study of nine poverty-impacted schools in New York City striving to more effectively use student performance data in teaching. The study was one of 13 studies of data use at the classroom level across the United States funded by the Spencer Foundation -- an effort intended to fill a serious gap in…

In the accountability era, educators are pressed to use evidence-based practice. In this comparative case study, we examine the learning opportunities afforded by teachers' data use conversations. Using situated discourse analysis, we compare two middle school mathematics teacher workgroups interpreting data from the same district assessment.…

Purpose: When school leaders advance strategic plans focused on improving educational equity through data-driven decision making, how do policies-as-practiced unfold in the daily work of science teachers? The paper aims to discuss this issue. Design/methodology/approach: This ethnographic study examines how data-centric accountability and…

Despite a growing body of research on data use in education, there has been relatively little focus on the role of students. This article begins to fill this gap by exploring teacher and administrator reports on engaging students in data use at six middle schools. Even though teachers expressed a belief that involving students in data use would…

The Florida Department of Education (FDOE) identified increasing the graduation rate of students with disabilities and decreasing the graduation gap between students with disabilities and all students as its state-identified measurable result (SIMR). To make progress toward the SIMR, the state sought to build the capacity of local education…

Educators and policymakers have expressed considerable enthusiasm for engaging students with data. In this article, the authors consider how teachers commonly examine data with their students, and how these practices are likely to affect student motivation. Combining motivation research with their own study of teachers in six middle schools that…

The purpose of this study was to determine how teacher perceptions of data and use of data-driven instruction affect student performance in English language arts (ELA). This study investigated teachers' perceptions of using data in the classroom and what supports they need to do so. The goal of the research was to increase the level of knowledge…

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 implementation of school-wide positive behavioral interventions and supports (SWPBIS) has been shown to reduce behavioral incidents and lead to more positive school climates. Despite the growing popularity in schools, there lacks clear understanding of the school counselor role in this approach. We present the perspectives of an elementary…

Background: Despite increased access to student learning data, scholars have demonstrated that teachers do not always know how to use these data in ways that lead to deep changes in instruction and often lack skills and knowledge to interpret results and develop solutions. In response, administrators have invested in instructional coaches, data…

This article examines an understudied aspect of teachers' sensemaking of student learning data: the way in which teachers explain the causes of the outcomes observed in data. Drawing on sensemaking and attribution theory and data collected in six middle schools, we find that while teachers most often attributed outcomes to their own instruction,…

This brief describes how to use a free online behavior screener to identify student support needs in middle and high schools. Inclusive Behavior Instruction utilizes data to identify appropriate social-emotional supports for all students. The Lane et al. (2016) study demonstrated system-wide use of a free online behavior screener at the middle and…

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…

Coaching has become a central strategy in district and school efforts to build teacher capacity to interpret and respond to student learning data. Despite their popularity, there is limited research on the implementation of these initiatives. This article begins to addresses this gap by examining the elements of a coach's practice that appear…

Building Assets Reducing Risks (BARR) is a social emotional model that achieves academic outcomes through combining use of real-time student data with proven relationship-building strategies and intensive teacher collaboration to prevent course failure. BARR is a recipient of US Department of Education "Investing in Innovation (i3)"…