In the summer and fall months of a "typical" year, many education leaders would receive reports of student performance on annual summative state assessments administered each spring. Using these data, administrators begin a process of sense-making -- identifying areas that need support and integrating new information offered by the data…

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…

This series of rapid briefs is being developed by the Wisconsin-Minnesota Comprehensive Center - Region 10 (WMCC10). The purpose of these briefs is to provide succinct and timely guidance on best practices for schools and school-based early learning programs regarding the assessment of student learning, with the goal of informing instructional…

This protocol guided the review of research that informed the recommendations contained in the What Works Clearinghouse (WWC) practice guide Using Student Achievement Data to Support Instructional Decision Making, published in September 2009. The research review involved the following steps: (1) The research staff searched the professional…

Amid rising concerns in recent decades about the performance, equity, and efficiency of education systems, policy-makers worldwide have sought to reform educational governance. Key reform elements include standardized testing, teacher monitoring and evaluation, and accountability, often in combination with other features such as decentralization…

Accountability policies assume that educators will use student data to improve student learning, but data use in practice has turned out to be harder than theorized. The purpose of this article was to examine how science teachers in Grades 5 to 8 used data in their classrooms. Utilizing sensemaking theory, we found that teachers decided how to use…

Teachers face considerable and increasing pressure in their working lives. Labor intensification compels teachers to work faster, harder, and longer. However, teachers also experience increasing external control over what they teach and how they teach. These processes are increasingly made possible by the "datafication" of teaching,…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

Policymakers and professional educators attempt to be good stewards of public funds while simultaneously raising expectations for student outcomes that reflect academic excellence in the public school system. The purpose of this study was to determine the efficiency of Texas public school districts and the factors influencing the inefficiency of…

Purpose: This paper argues that in a well-organised school with strong leadership and vision coupled with a concerted effort to improve the teaching performance of each teacher, student achievement can be enhanced. The purpose of this paper is to demonstrate that while macro-effect sizes such as "whole of school" metrics are useful for…

Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…

Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…

In this article, I offer an examination of findings from a recently completed qualitative study conducted in the south-eastern region of the US. In the study, nine teachers from three different schools representing two different school districts were interviewed twice about how they dealt with their students' Stanford Achievement Test 10 (SAT 10)…

In "How Is Testing Supposed to Improve Schooling?" Edward Haertel has proposed a framework for thinking about the mechanisms by which testing might improve the various educational processes undertaken in schools. The framework seems to the author to be quite general (he uses the word "general" here in its mathematical sense of including all cases)…

The purpose of this paper is to enhance our understanding of districts that are implementing sustainable professional learning in data-driven decision-making (DDDM) to improve student achievement. The data-informed leadership framework, comprised of leadership practices that acknowledge the complexities that play into data use, guided the inquiry.…