What is the link between neuroscience and education? Can one measure the phenomenon of learning and make predictions by charting student performance? How does the knowledge of neuroscience inform educators to objectively and effectively meet the unique needs of all learners and address discrepancies in subsets of student population? Questions like…

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 COVID-19 crisis caused the educational system's sudden and drastic upheaval as parents were forced to decide where their children would attend school and how they would get there. These decisions were complicated by the uncertainty surrounding what type of online or hybrid schooling districts would offer, the health risks of different…

In our data-rich world, there are strong calls for greater focus on data literacy as increasingly, 21st century jobs require some level of data literacy. Data literacy is inherently STEM integration, especially when working with real-world scenarios, as it requires bringing math and technology into the science classroom to interpret and engage…

Drawing on ethnographic research from a small urban high school serving predominantly low-income students in a large northeastern city, this case explores how a school leader seeks to improve the school's graduation rates by analyzing student data. It asks readers to consider the overall organization of the meeting, the role of the principal, the…

Districts make and implement policies aiming to improve structures, practices, and outcomes. Instructional coaching has become a popular lever to catalyze instructional improvement efforts. However, many questions remain about the alignment between coaching and reforms. This article draws on coupling theory to analyze the relationship between…

This dissertation is a case study of a professional development effort in a large urban school district over the course of one school year. With their district identified for improvement under the requirements of the Elementary and Secondary Education Act of 2001, district leaders were under pressure take corrective action. As part of their plan…

Chronic absenteeism is often referred to as a problem hidden in plain sight (Chang & Romero, 2008). In recent years, more communities around the United States have been intentional on improving student attendance and limiting the impact of chronic absenteeism. Using qualitative interviews, we sought to understand how one community was…

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…

Increasingly, states and districts are combining student growth measures with rigorous, rubric-aligned teacher observations in constructing teacher evaluation measures. Although the student growth or value-added components of these measures have received much research and policy attention, the results of this study suggest that the data generated…

School districts increasingly push school leaders to utilize multiple measures of teacher effectiveness, such as observation ratings or value-added scores, in making talent management decisions, including teacher hiring, assignment, support, and retention, but we know little about the local conditions that promote or impede these processes. We…

This chapter describes how data analysis and data-driven decision making were critical for designing, developing, and assessing a new academic program. The authors--one, the program's founder; the other, an alumna--begin by highlighting some of the elements in the program's incubation and, subsequently, describe some of the components for data…

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 national focus in education continues to center on school accountability and student results. Districts and states are continually searching for ways to improve student performance and learning outcomes. There are several Data Driven Decision Making models currently being used in school districts across the country. Research continues to…

This Statistics in Brief adds to existing research on early-career teachers by presenting findings on their preparation and supports from data from the 2011-12 Schools and Staffing Survey (SASS). This brief, like past research, investigates several specific areas of preparation and types of support. For the purposes of this brief, early-career…