We compared the structure of discussions in a middle school mathematics classroom before (Year 1) and after (Year 2) teacher participation in professional development activities aimed at enhancing students' participation and the co-construction of mathematical ideas. Changes in the role of teacher and student were accompanied by identifiable…

This paper explores the ways in which school leaders are turning to student services staff as local experts in data analysis and use to meet the demands of high-stakes accountability. The authors have been collecting data, as part of a 5-year National Science Foundation-funded study, on how school leaders create data-driven systems to improve…

Formative feedback systems live at the heart of systemic school improvement efforts. Without accurate and timely information on the results of intended interventions, school leaders and teachers fly blind in their efforts to link what they expect to what actually happens in their schools. This paper draws on the results of a 5-year National…

The U.S. Department of Education recently held a competition for grants to support states in their efforts to build longitudinal data systems to track and analyze student and school performance. The Value-Added Research Center (VARC) at the Wisconsin Center for Education Research, University of Wisconsin-Madison, proposed a Tri-State Partnership…

The prominent role of Boolean classes in qualitative data analysis software is viewed by some as an encroachment of logical positivism on qualitative research methodology. The authors articulate an embodiment perspective, in which Boolean classes are viewed as conceptual metaphors for apprehending and manipulating data, concepts, and categories in…

The recent demand for schools to respond to external accountability measures challenges school leaders to create school instructional systems that use data to guide the practices of teaching and learning. This paper considers how local school leaders build data-driven instructional systems (DDIS) by developing new programs and using existing…

Systemic efforts to implement data-based decision making at the school and classroom level face several challenges. First, most data available within district information systems are limited to what has been deemed important for the operational needs of schools and the district. Second, educational organizations have little experience integrating…