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E-raamat: Using Data to Improve Student Learning in School Districts

(California State University, Chico, USA)
  • Formaat: 448 pages
  • Ilmumisaeg: 11-Oct-2013
  • Kirjastus: Eye On Education, Inc
  • Keel: eng
  • ISBN-13: 9781317922858
  • Formaat - PDF+DRM
  • Hind: 51,99 €*
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  • Formaat: 448 pages
  • Ilmumisaeg: 11-Oct-2013
  • Kirjastus: Eye On Education, Inc
  • Keel: eng
  • ISBN-13: 9781317922858

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This book helps you make sense of the data your school district collects, including state student achievement results as well as other qualitative and quantitative data. Easy-to-use templates, tools, and examples are available on the accompanying downloadable resources.
Foreword xiii
Preface xv
Introduction
Introduction
1(8)
The Importance of Data
2(2)
Barriers to Using Data
4(1)
The Purposes of this Book
5(1)
The Structure of this Book
6(1)
Summary
7(2)
What Data Are Important?
What Data Are Important?
9(20)
Levels of Analysis
12(7)
Input/Process/Output
19(2)
Summary: Focusing the Data
21(2)
Study Questions
23(4)
Summary
27(1)
On the CD
27(2)
Getting Started
On Data Analysis for Continuous Improvement
29(12)
Analyzing Data Using a Continuous Improvement Planning Model
31(1)
Continuous Improvement Planning via a School or District Portfolio
31(5)
Study Questions
36(3)
Summary
39(1)
On the CD
40(1)
Analyzing the Data
Who Are We?
41(76)
Our Example District: Canyon View School District
44(61)
Study Questions
105(1)
What I Saw in the Example
106(3)
Summary
109(1)
Typical Demographic Data to Gather
110(3)
On the CD
113(4)
Analyzing the Data
How Do We Do Business?
117(86)
Our Example District: Canyon View School District
119(9)
Study Questions: District CIC Assessment
128(1)
What I Saw in the Example: District CIC Assessment
129(68)
Study Questions: District Questionnaires
197(1)
What I Saw in the Example: District Questionnaires
198(2)
Summary
200(1)
On the CD
200(3)
Analyzing the Data
Where Are We Now?
203(84)
How Can School Districts Measure Student Learning?
205(13)
Grades
218(2)
Analyzing the Results, Descriptively
220(4)
Analyzing the Results, Inferentially
224(4)
Our Example District: Canyon View School District
228(54)
Study Questions
282(1)
What I Saw in the Example
283(2)
Summary
285(1)
On the CD
285(2)
Analyzing the Data
What Are the Gaps? What are the Root Causes of the Gaps?
287(38)
Our Example District: Canyon View School District
290(19)
What are the Root Causes of Canyon View's Gaps?
309(7)
Review of the Implications
316(3)
Study Questions
319(1)
What I Saw in the Example
320(1)
Summary
321(1)
On the CD
322(3)
Analyzing the Data
Where Do We Want to Be? How Can We Get to Where We Want to Be?
325(26)
Our Example District: Canyon View School District
326(18)
Summary
344(1)
On the CD
345(6)
Analyzing the Data
Conclusions and Recommendations
351(14)
What the Example Shows
352(2)
What School District Leaders Can Do
354(4)
Data Warehouses
358(2)
Who Does the Data Analysis Work?
360(1)
Summary
361(1)
Recommendations
362(1)
On the CD
363(2)
Appendix A: Overview of the CD Contents 365(12)
Appendix B: Continuous Improvement Continuums for Districts 377(10)
Appendix C: Continuous Improvement Continuums for Schools 387(10)
Glossary of Terms 397(18)
References and Resources 415(10)
Index 425(4)
End-User License Agreement 429(3)
CD-ROM Installation Instructions 432


Victoria L. Bernhardt, Ph.D., is Executive Director of the Education for the Future Initiative, a not-forprofit organization whose mission is to build the capacity of all schools at all levels to gather, analyze, and use data to continuously improve learning for all students. She is also a Professor in the Department of Professional Studies in Education, College of Communication and Education, at California State University, Chico, currently on leave. Dr. Bernhardt is the author of the following books: - A four-book collection of using data to improve student learningUsing Data to Improve Student Learning in Elementary Schools (2003); Using Data to Improve Student Learning in Middle Schools (2004); Using Data to Improve Student Learning in High Schools (2005); and Using Data to Improve Student Learning in School Districts (2005). Each book shows real analyses focused on one education organizational level and provides templates on an accompanying CD-Rom for leaders to use for gathering, graphing, and analyzing data in their own learning organizations. - Data Analysis for Continuous School Improvement (First Edition, 1998; Second Edition, 2004) helps learning organizations use data to determine where they are, where they want to be, and how to get theresensibly, painlessly, and effectively. - The School Portfolio Toolkit: A Planning, Implementation, and Evaluation Guide for Continuous School Improvement, and CD-Rom (2002), is a compilation of over 500 examples, suggestions, activities, tools, strategies, and templates for producing school portfolios that will lead to continuous school improvement. - The Example School Portfolio (2000) shows what a completed school portfolio looks like and further supports schools in developing their own school portfolios. - Designing and Using Databases for School Improvement (2000) helps schools and districts think through the issues surrounding the creation and uses of databases established to achieve improved student learning. - The School Portfolio: A Comprehensive Framework for School Improvement (First Edition, 1994; Second Edition, 1999). This first book by the author assists schools with clarifying the purpose and vision of their learning organizations as they develop their school portfolios. Dr. Bernhardt is passionate about her mission of helping all educators continuously improve student learning in their classrooms, their schools, their districts, and states by gathering, analyzing, and using actual dataas opposed to using hunches and gut-level feelings. She has made numerous presentations at professional meetings and conducts workshops on the school portfolio, data analysis, data warehousing, and school improvement at local, state, regional, national and international levels.