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Author: Ellen B. Mandinach Publisher: Teachers College Press ISBN: 0807775509 Category : Education Languages : en Pages : 296
Book Description
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
Author: Ellen B. Mandinach Publisher: Teachers College Press ISBN: 0807775509 Category : Education Languages : en Pages : 296
Book Description
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
Author: Daniel M. Hyson Publisher: Guilford Publications ISBN: 1462543103 Category : Psychology Languages : en Pages : 259
Book Description
This indispensable practitioner's guide helps to build the capacity of school psychologists, administrators, and teachers to use data in collaborative decision making. It presents an applied, step-by-step approach for creating and running effective data teams within a problem-solving framework. The authors describe innovative ways to improve academic and behavioral outcomes at the individual, class, grade, school, and district levels. Applications of readily available technology tools are highlighted. In a large-size format for easy photocopying, the book includes learning activities and helpful reproducible forms. The companion website provides downloadable copies of the reproducible forms as well as Excel spreadsheets, PowerPoint slides, and an online-only chapter on characteristics of effective teams. This book is in The Guilford Practical Intervention in the Schools Series, edited by Sandra M. Chafouleas.
Author: Paul Bambrick-Santoyo Publisher: John Wiley & Sons ISBN: 0470548746 Category : Education Languages : en Pages : 298
Book Description
Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD.
Author: Ellen B. Mandinach Publisher: Corwin Press ISBN: 1452279667 Category : Education Languages : en Pages : 281
Book Description
Connect data and instruction to improve practice Gathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text’s integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on: Assessment Statistics Instructional and differentiated psychology Classroom management
Author: Theodore J. Kowalski Publisher: Pearson ISBN: 9780205496686 Category : Education Languages : en Pages : 0
Book Description
This book integrates theory and practice in decision-making, with a specific focus on data-driven decision making. Applications are demonstrated in the contexts of administration, supervision, and teaching. The book provides a unique contribution to the literature in this field in that the studies of decision theory and data-based decision making are integrated. Focusing on educators assuming leadership roles in school improvement, the book's content is equally relevant for administrators, supervisors, and teachers. The book, however, is centered on data-driven decision making, both as a requirement of the No Child Left Behind Act and as a normative professional standard. Issues related to accumulating, storing, and protecting data in districts and schools also are covered. Applications in administration, supervision, and teaching are demonstrated.
Author: Victoria L. Bernhardt Publisher: Routledge ISBN: 1351587854 Category : Education Languages : en Pages : 555
Book Description
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.
Author: Kim Schildkamp Publisher: Springer Science & Business Media ISBN: 9400748159 Category : Education Languages : en Pages : 221
Book Description
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.
Author: Amanda Datnow Publisher: John Wiley & Sons ISBN: 1118234081 Category : Education Languages : en Pages : 160
Book Description
Tools and techniques from the trailblazers in data-basededucation reform Over a period of several years, Amanda Datnow and Vicki Parkvisited public schools with a reputation for being ahead of thepack in data-driven decision making. The results of this pioneeringstudy reveal how education leaders can make data work for studentsand teachers, rather than against them. This book is an essential guide to meeting the challenges ofhigh-stakes accountability, building performance-based schools, andimproving student outcomes. By following the advice in this book,you’ll be able to transform data overload into adata-positive school culture. You’ll learn the differencebetween “data-driven leadership” and“data-informed leadership,” and how to use distributedleadership to inspire collaboration and guided analysis. Incorporating narrative reflections drawn from real educatorsand administrators, the authors refine their observations andinterviews into practical conclusions that leaders can put to useimmediately. This book empowers leaders to support inquiry, buildtrust in data-based initiatives, establish goals for evidence use,and provide educators with the skills they need to mobilize datafor the good of all stakeholders. “Datnow and Park’s ideas are easily accessible andgrounded in clear examples, and their seven ‘calls’about what needs to be done nail the problem and the solutions. Usethis book as your action guide and you’ll be rewarded withbetter results in student learning.” —Michael Fullan, professor emeritus,University of Toronto “Datnow and Park uncover, at last, what it means to usedata to inform leadership. Documenting the four P’s (people,policies, practices, and patterns) in schools, we learn about theorganization and dynamics of reform informed by data. A mustread!” —Ann Lieberman, senior scholar,Stanford University
Author: Craig A. Mertler Publisher: ASCD ISBN: 1416619771 Category : Education Languages : en Pages : 49
Book Description
Thanks to initiatives like the Common Core and Race to the Top, accountability requirements continue to be a reality for educators. Yet many are still unsure of how to use data to make well-informed instructional decisions. The Data-Driven Classroom comes to the rescue with a systematic, universal process that shows teachers how to: examine student assessment results to identify a curricular or skill area to target for individual intervention or large-group instructional revision; develop, implement, and assess the effectiveness of the intervention or revision; and develop an action plan for future instructional cycles. Author Craig A. Mertler sheds light on how teachers can make sense of overwhelming standardized test reports while avoiding pitfalls like over-interpreting data. In these pages you will also find practical classroom examples and templates designed to guide teachers of all grade levels and subject areas through the comprehensive decision-making framework.
Author: Ellen B. Mandinach
Author: Ellen B. Mandinach
Author: Daniel M. Hyson
Author: Paul Bambrick-Santoyo
Author: Ellen B. Mandinach
Author: Theodore J. Kowalski
Author: Victoria L. Bernhardt
Author: Kim Schildkamp
Author: Amanda Datnow
Author: Peter Holly
Author: Craig A. Mertler