The data team intervention was designed to support Dutch secondary schools in using data while developing a solution to an educational problem. A data team can build school-wide capacity for data use through knowledge sharing among data team members, and knowledge brokerage between the team and other colleagues. The goal of this mixed-methods…

We examine how teacher leaders (TLs), working in a low-income urban elementary school, supported their colleagues to learn how to collect quality formative data and to discuss it in collaborative conversations in order to make their students' learning visible. The TLs faced challenges reflecting consequences resulting from the district's high…

Educators by definition are now required to utilize a variety of student data to shape the decisions they make and design the lessons they teach. As accountability standards become more stringent and as teachers face increasingly diverse student populations within their classrooms, they often struggle to adequately meet the needs of all learners.…

We review the value of cost-effectiveness analysis for evaluation and decision making with respect to educational programs and discuss its application to early reading interventions. We describe the conditions for a rigorous cost-effectiveness analysis and illustrate the challenges of applying the method in practice, providing examples of programs…

This case study uses evidence collected for accreditation and programme improvement at a small university Master's and certification programme in Educational Leadership Development to describe efforts to help leadership candidates use data during the programme's final internship experience. Programme features supporting the growth of candidates'…

In the United States, effective data use is proving to be a vexing problem. In response, scholars have recently begun viewing this as a systemic problem, believing there are actions a school district may take to make data use more efficient and tenable throughout the organization. In this article, we add to the knowledge of how school…

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.…

The identification of children at-risk for reading problems can be costly and time-consuming. Previous research has indicated that teachers are relatively accurate in assessing children's overall reading ability. This study investigated the accuracy of kindergarten and first grade teacher rating scales in predicting children's reading…

Early childhood stakeholders in state departments of education are interested in knowing what child assessment measures are being used in state-funded pre-kindergarten and in kindergarten classrooms. To address this need, the Center on Enhancing Early Learning Outcomes (CEELO) performed a secondary analysis of data in the National Institute for…

The study reported in this article examines how teachers read and respond to their students' Stanford Achievement Test 10 (SAT 10) scores with the goal of investigating the assumption that data-based teaching practice is more "objective" and less susceptible to divergent teacher interpretation. The study uses reader response theory to…

Background/Context: College grades can influence a student's graduation prospects, academic motivation, postgraduate job choice, professional and graduate school selection, and access to loans and scholarships. Despite the importance of grades, national trends in grading practices have not been examined in over a decade, and there has been a…

Background: Evaluation is a tool that can promote accountability and enhance organizational improvement. For these reasons funding entities from government to foundations are increasingly relying on program evaluation as a key instrument to determine effectiveness and hold recipient organizations accountable. What has ensued is an environment of…

The authors aimed to incorporate learning into the cognitive assessment framework that exists for static assessment data. In order to accomplish this, they derive a common likelihood function for dynamic models and introduce Parameter Driven Process for Change + Cognitive Diagnosis Model (PDPC + CDM), a dynamic model which tracks learning…

This study attempts to define turnaround schools in California, both what constitutes low-performing or "failing" schools and what constitutes turnaround or "success" for these schools. The study clearly specifies the criteria used for identifying and selecting turnaround schools and then provides summaries of the strategies…

There has been little data collected on how much testing actually goes on in America's schools and how the results are used. So in the Spring of 2014, the Council staff developed and launched a survey of assessment practices. This report presents the findings from that survey and subsequent Council analysis and review of the data. It also offers…