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Sinopsis
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.
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Acerca del autor
Victoria L. Bernhardt, Ph.D., is Executive Director of the Education for the Future Initiative, a not-for-profit organization whose mission is to build the capacity of all learning organizations and use data to improve learning for all students. She is also a Professor Emeritus in the College of Communication and Education at California State University, Chico. This is her 22nd book.
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Data Analysis for Continuous S
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Routledge, 2017
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Data Analysis for Continuous School Improvement
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Data Analysis for Continuous School Improvement
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Data Analysis for Continuous School Improvement: For Continuous School Improvement
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Data Analysis for Continuous School Improvement
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Data Analysis for Continuous School Improvement
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