This study explores the analysis and use of assessment and accountability data by teachers and administrators. It also examinies the role that data play in school and district planning. Three general barriers to data access or data use by teachers and school administrators in New York State public schools were investigated. The attempt was to understand why educators, despite the claims that the use of data increases the effectiveness of teachers and administrators, are unable or unwilling to do so. A researcher-desgned survey of members of the New York State Data Analysis Technical Assistance Group (DATAG) was administered in an attempt to uncover those barriers, which were found to be technical, institutional, and personal in nature. This study examinied numerous types of data and the influence that access, ability, and attitude toward that data have on educators' use for comprehensive planning. The impact of technology, professional development, and other areas of access and ability were taken into consideration. Through a stepwise multiple regression the following areas were found significant in predicting use of data for planning: a) access to professional development, b) access to data tools (hardware, software or other), c) ability to understand and use accountability data, d) ability to plan effectively, e) attitude held toward state accountability data, and f) attitude held toward data in general. After reviewing the findings, a comparison to effective business models was made.

Examines the issues raised by the ACER Research Conference 2005. Analyses conference papers, distils essence of conference 'conversations' and contextualises them in the light of Australian and international literature.

In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students’ assessments, classroom observations etc. This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are ‘best practice’ studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field.

The first comprehensive examination of the field, this book brings together stakeholders representing a variety of perspectives to explore how educators actually use data and technology tools to achieve lasting improvement in student performance. Contributors: David V. Abbott, Carrie Amon, Jonathan Bertfield, Cornelia Brunner, Fred Carrigg, Jere Confrey, Katherine Conoly, Valerie M. Crawford, Chris Dede, John Gasko, Greg Gunn, Juliette Heinze, Naomi Hupert, Sherry P. King, Mary Jane Kurabinski, Daniel Light, Lisa Long, Michael Merrill, Liane Moody, William R. Penuel, Luz M. Rivas, Mark S. Schlager, John Stewart, Sam Stringfield, Ronald Thorpe, Yukie Toyama, Jeffrey C. Wayman, and Viki M. Young. “If you want to understand usable knowledge, read Data-Driven School Improvement.” —Ellen Condliffe Lagemann, Harvard University “It is reassuring to know that at least some of the data being generated in our data-driven age are being used to make wiser decisions. We can all learn from these illustrative accounts.” —David C. Berliner, Mary Lou Fulton College of Education, Arizona State University “Replete with examples from real schools and districts, this volume provides a multi-layered portrait of what it takes to establish a culture of data use. Readers will come away with an appreciation of the systemic changes needed to reap the full potential of data-driven decision making.” —Barbara Means, Center for Technology in Learning, SRI International

This monograph analyses and describes successful educational actions with a specific focus on vulnerable groups (i.e. youth, migrants, cultural groups e.g. Roma, women, and people with disabilities). Concrete data that shows success in school performance in subject matters such as math or language will be provided, as well as children, teachers and families accounts of the impact of this success. Alongside, there is an analysis of the relationship between these children’s educational performance with their inclusion or exclusion from different areas of society (i.e. housing, health, employment, and social and political participation). Many studies have already diagnosed and described the causes of educational and social exclusion of these vulnerable groups. This monograph, however, provides solutions, that is, actions for success identified through the INCLUD-ED project, thus providing both, contrasted data and solid theoretical background and development. Some examples of these actions are interactive groups (or heterogeneous grouping in the classroom with reorganisation of human resources), extension of the learning time, homework clubs, tutored libraries, family and community educative participation, family education, or dialogic literary gatherings. All these actions have been defined as successful educational actions, which mean that they lead to both efficiency and equity. Finally, recommendations for policy and practice are included and discussed.

Data Analysis for Continuous School Improvement provides a new definition of school improvement, away from a singular focus on compliance, toward a true commitment to excellence. This book is a call to action. It is about inspiring schools and school districts to commit to continuous school improvement by providing a framework that will result in improving teaching for every teacher and learning for every student through the comprehensive use of data. A culmination of over 30 years of doing the hard work in schools and districts both nationally and internationally, Data Analysis for Continuous School Improvement shares new, evidence-based learnings about how to analyze, report, communicate, and use multiple measures of data. The updated edition provides a wealth of tools, protocols, timelines, examples, and strategies that will help schools and districts become genuine learning organizations.