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…

The Leaders' Evaluation and Analysis Development (LEAD) Tool provides the Los Angeles Unified School District (LAUSD) with a data set to measure the level of teacher effectiveness at every school site. The LEAD Tool data variables also provide teacher, principal, and schools with data that may have a relationship with a school's overall academic…

Testing of students and computer systems to store, manage, analyze, and report the resulting test data have grown hand-in-hand. Extant research on teacher use of electronically stored data are largely qualitative and focused on the conditions necessary (but not sufficient) for effective teacher data use. Absent from the research is objective…

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.…

Students beginning high school commonly experience increased stress and behavior problems alongside declines in grades, attendance, interest in school, and perceptions of academic competence and self-esteem (Alvidrez & Weinstein, 1993; Reyes et al., 2000). Moreover, research indicates that, relative to students who graduate from high school,…

The housing and education sectors are being asked to do more with fewer resources. School districts often struggle to meet the needs of low-income students who deal with challenges outside of school and to connect them to resources that can strengthen their academic competencies. Public housing authorities and other assisted-housing providers…

This conceptual model introduces a process to help school counselors use data to drive decision making and offers examples to implement the process. A step-by-step process is offered to help school counselors and school counselor supervisors address educational issues, close achievement gaps, and demonstrate program effectiveness. To illustrate…

Although there is an emerging body of research that examines data-driven decision making (DDDM) in schools, little attention has been paid to how local leaders strategically frame sensemaking around data use. This exploratory case examines how district and school leaders consciously framed the implementation of DDDM in one urban high school.…

The expectation that teachers will use student achievement data to improve their instruction is a major feature of national and local reform agendas. The theory of action behind data-driven decision making is a mostly causal model of professional action, whereby teachers diagnose weaknesses and implement solutions. The purpose of this article is…

This project compared annual mandated assessment results for an urban charter school, two comparable urban schools and the encompassing urban district. Scores in grades three through eight in the target school were analyzed to determine the percentage of students scoring at proficiency levels three and four (scores of one and two are considered…

While teachers face new expectations for student learning and more equitable educational outcomes, instruction and assessment remain rooted in traditional approaches that are largely inequitable, culturally irrelevant, and intellectually disengaging, contributing to gaps in academic achievement across student groups (Darling-Hammond, 2010; King…

This article traces how the work of instructional leadership in the urban high school embodies a response to particular pressures in the school's environment. Based on evidence from multiple-case study research in four urban districts, the article demonstrates how supervisory and nonsupervisory leaders fashioned responses to the district (and…

Numerous studies have examined how grade retention can impede the academic success of those retained students. One uncharted line of research is the spillover effect that retained students may exert on their classmates. The purpose of this study is to evaluate this relationship for students in urban elementary school classrooms. To do so, this…

Data-driven instruction began its spread across the country about a decade ago, in the footsteps of the No Child Left Behind requirement that schools administer yearly achievement tests. Those tests didn't help teachers spot and backfill learning gaps, though. Scores came back after everyone had moved on to the next grade, and anyway, the tests…

The purpose of this case study was to demonstrate the influence of Tier 1 of Response to Intervention and Instruction (RtI[superscript 2]) and instructional coaching on teachers' instruction and on students' and English Language Learners' (ELL) learning. Research was conducted in one large urban elementary school. The unit of study…