The Data-Driven School

The Data-Driven School

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  • Author: Daniel M. Hyson
  • Publisher: Guilford Publications
  • ISBN: 1462543103
  • Category : Psychology
  • Languages : en
  • Pages : 259

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.


Driven by Data

Driven by Data

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  • Author: Paul Bambrick-Santoyo
  • Publisher: John Wiley & Sons
  • ISBN: 0470548746
  • Category : Education
  • Languages : en
  • Pages : 298

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.


Transforming Teaching and Learning Through Data-Driven Decision Making

Transforming Teaching and Learning Through Data-Driven Decision Making

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  • Author: Ellen B. Mandinach
  • Publisher: Corwin Press
  • ISBN: 1452279667
  • Category : Education
  • Languages : en
  • Pages : 281

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


Data-Driven School Improvement

Data-Driven School Improvement

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  • Author: Ellen B. Mandinach
  • Publisher: Teachers College Press
  • ISBN: 0807775509
  • Category : Education
  • Languages : en
  • Pages : 296

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


Statistics Made Simple for School Leaders

Statistics Made Simple for School Leaders

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  • Author: Susan Rovezzi Carroll
  • Publisher: R&L Education
  • ISBN: 146165419X
  • Category : Education
  • Languages : en
  • Pages : 162

The chief executive officer of a corporation is not much different from a public school administrator. While CEOs base many of their decisions on data, for school administrators, this type of research may conjure up miserable memories of searching for information to meet a graduate school requirement. However, the value of data-based decision making will continue to escalate and the school community—students, teachers, parents and the general public—expect this information to come from their administrators. Administrators are called on to be accountable, but few are capable of presenting the mountain of data that they collect in a cohesive and strategic manner. Most statistical books are focused on statistical theory versus application, but Statistics Made Simple for School Leaders presents statistics in a simple, practical, conceptual, and immediately applicable manner. It enables administrators to take their data and manage it into strategic information so the results can be used for action plans that benefit the school system. The approach is 'user friendly' and leaves the reader with a confident can-do attitude to communicate results and plans to staff and the community.


Data-Driven Leadership

Data-Driven Leadership

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  • Author: Amanda Datnow
  • Publisher: John Wiley & Sons
  • ISBN: 1118234081
  • Category : Education
  • Languages : en
  • Pages : 160

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


Data-based Decision Making in Education

Data-based Decision Making in Education

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  • Author: Kim Schildkamp
  • Publisher: Springer Science & Business Media
  • ISBN: 9400748159
  • Category : Education
  • Languages : en
  • Pages : 221

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.


Data-driven Decision Making for Effective School Leadership

Data-driven Decision Making for Effective School Leadership

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  • Author: Anthony G. Picciano
  • Publisher: Prentice Hall
  • ISBN:
  • Category : Education
  • Languages : en
  • Pages : 260

Brief ContentsPrefacePrologue Concepts and Foundations of Data-Driven Decision Making Introduction to Data-Driven Decision Making Planning and Developing Information Resources Hardware, Software, and People Educational Research Methods and Tools Teachers and Administrators as Researchers Basic Applications Student Data, Demographics, and Enrollments School and the Community Financial Management and Budgeting Supporting Teaching and Learning Supporting Teachers and Their Professional Development Technical Support Review of Statistical Routines Used in this Book Introduction to Spreadsheet Software Introduction to the Statistical Package for the Social Sciences (SPSS) Database Management Terms and Sample Outline Internet Resources for Data-Driven Decision MakingGlossaryIndex Contents PrefacePrologue Concepts and Foundations of Data-Driven Decision Making Introduction to Data-Driven Decision Making Rationale for Adopting Data-Driven Decision Making Purpose of This Book Defining Data-Driven Decision Making An Old Idea: Knowledge Is Power Need for Planning The Systems Approach Organization of This Book SummaryReferences Planning and Developing Information Resources School Districts Take the Lead Defining Information Needs Database Management Systems Long-Term and Short-Term Data Resources SummaryCase StudyReferences Hardware, Software, and People A Brief Look at Infrastructure Hardware for Effective Data Management and Access Client-Server Architecture Software for Data Analysis Developing People Resources The Data Analyst SummaryCase StudyReferences Educational Research Methods and Tools The Scientific Method and Educational Research Educational Research Methods Ethnographic Research Historical Research Descriptive Research Correlational Research Causal Comparative Research Experimental Research Action Research Data Collection Tools Direct Observation Structured Interviews Document Analysis Surveys Test Instruments SummaryCase StudyReferences Teachers and Administrators as Researchers Learning Communities Action Research in Action Trial Testing a Peer Tutoring Program Multiple Intelligences in a Foreign Language Program Advancing to an Inclusion Program SummaryActivitiesReferences Basic Applications Student Data, Demographics, and Enrollments Student Data Enrollment Projections at the District Level Attendance Zones and Individual Schools Taking a Census Special Student Populations SummaryActivitiesReferences School and the Community Partnering with the Community: Broad-Based Surveys Anatomy of a Survey Who Will Participate in the Survey? What Data Will Be Collected? Data Analysis Is the Sample Representative of the High School Population? Do Students Have Access to the Internet? The Committee's Next Steps SummaryActivitiesReferences Financial Management and Budgeting Basic Terminology School District Budget School Budget The Canton Alternative School Budget Emergency SummaryActivitiesReferences Supporting Teaching and Learning States, Cities, Districts, Schools, Classes, Teachers, Students Improving Teaching and Learning Jefferson Middle School Developing a Plan Information Overload: A Caution SummaryActivitiesReferences Supporting Teachers and Their Professional Development Summative and Formative Evaluation Collecting Personnel Data Kingsland School District Case Study Keeping Track of Professional Development SummaryActivitiesReferences Technical Support Review of Statistical Routines Used in this Book Key Terms Descriptive Statistical Procedures Frequency Distributions Contingency Tables (Crosstabulations) Measures of Central Tendency Measures of Dispersion Measures of Relationship Correlational Coefficient Linear Regression Caution Introduction to Spreadsheet Software Overview and Key Terms Spreadsheet Structure Data Types and Data Manipulation Charts and Graphics Introduction to the Statistical Package for the Social Sciences (SPSS) Overview The Data Editor Creating a Data Set Defining Variables Transforming Data Options Data Analysis Procedures and the Output Viewer Graphs and Charts Database Management Terms and Sample Outline Internet Resources for Data-Driven Decision MakingGlossaryIndex.


The Data-Driven Classroom

The Data-Driven Classroom

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  • Author: Craig A. Mertler
  • Publisher: ASCD
  • ISBN: 1416619771
  • Category : Education
  • Languages : en
  • Pages : 49

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.


Data-Driven Decision Making

Data-Driven Decision Making

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  • Author: Chris O'Neal
  • Publisher: International Society for Technology in Education
  • ISBN: 1564844609
  • Category : Education
  • Languages : en
  • Pages : 142

This workbook will serve as your guide to incorporating the data-driven decision making process into your organization’s culture and behavior. O’Neal leads you through setting up teams; warehousing, accessing, and examining data; and finally reflecting on your process. Understand what’s happening in your school environment and how you can make better decisions that will keep you on a path to success.