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Data Analysis for Continuous School Improvement, by Victoria Bernhardt
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Data Analysis for Continuous School Improvement, Third Edition, 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. It provides a new definition of improvement, away from a singular focus on compliance, toward a true commitment to excellence. This Third Edition is the culmination of over 25 years of doing the hard work in schools and districts, both nationally and internationally, to analyze, report, communicate, and use multiple measures of data for continuous school improvement. This book provides new and very specific tools, timelines, and strategies that will help schools and districts become true learning organizations.
- Sales Rank: #136929 in Books
- Brand: Brand: Routledge
- Published on: 2013-05-19
- Original language: English
- Number of items: 1
- Dimensions: 11.00" h x 8.50" w x .75" l, 2.60 pounds
- Binding: Paperback
- 432 pages
- Used Book in Good Condition
About the Author
Victoria L. Bernhardt, Ph.D., celebrated author of highly praised data analysis books, is Executive Director of Education for the Future, a not-for-profit initiative located on the campus of California State University, Chico. She is also a Professor (currently on leave) at CSU. Dr. Bernhardt conducts workshops and institutes on data analysis, the school portfolio, and using data to improve student learning at local, regional, state, national, and international levels. The Education for the Future Initiative provides workshops and institutes on analyzing and using data for educational organizations of all sizes and types. The Initiative also provides data consulting services and support for administering and analyzing questionnaires to schools and school districts.
Most helpful customer reviews
4 of 4 people found the following review helpful.
Bernhardt hits home runs.
By Amazon Customer
With the third edition of Data Analysis for Continuous School Improvement, Victoria Bernhardt continues to hit home runs.
Writing in an easy-to-read style, Dr. Bernhardt does a superb job of explaining the need for more than student achievement data in order to continuously improve schools at all levels. Too many people who claim they want to improve schools do not incorporate demographics, perceptions, and school processes in their improvement plan; and they wonder why their plans fall short. Using the Continuous School Improvement framework that Dr. Bernhardt developed, all educators can develop a vision that has a laser focus on school improvement and develop a logical and sustainable plan to implement the vision. The activities and facilitation guides in the Appendix are wonderful tools to enable the readers to do the work themselves. College professors in Colleges of Education should be using this book. In fact, all educators should have this book in their personal library.
3 of 3 people found the following review helpful.
Helpful tool for any school!
By Karen Victor
After I attended a training session in June, I felt that I absolutely needed my own copy of this book. I'm happy to say that it was money well-spent! Dr. Bernhardt and her team have done a great job of laying out explicit examples and clear procedures of how to collect the data that CSI schools need. It helps that I've been through the training; I wouldn't really recommend trying to use this book without it. You could muddle through, I'm sure, but do so at your own risk. (I'm not a compensated endorser, so don't worry about bias or nepotism, at least not from me!)
3 of 3 people found the following review helpful.
Great One for School Administrators
By Rebecca
The best use of this text is for a school administrative team that wants to develop a school improvement plan. The work in this text is well-explained and has excellent models. A school would need at least a year to go through the whole cycle explained in this book. I thought of using it for a grad course I teach, but it's almost impossible for grad students to conduct this work unless they're already an administrator.
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