Data Analysis for Continuous School Improvement

Bernhardt, Victoria L.

ISBN 10: 1032888091 ISBN 13: 9781032888095
Editorial: Routledge, 2025
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Descripción

Descripción:

2025. 5th Edition. paperback. . . . . . N° de ref. del artículo V9781032888095

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Sinopsis:

With the 5th Edition of Data Analysis for Continuous School Improvement, best-selling Victoria Bernhardt has written the go-to-resource for data analysis in your school! By incorporating collaborative structures to implement, monitor, and evaluate the vision and continuous improvement plan, this book provides a framework to show learning organizations how to create the results they really want for all teachers and all students.

A culmination of over 30 years of doing the hard work in schools and districts both nationally and internationally, this 5th Edition shares new, evidence-based information and shows how to analyze, report, communicate, and use multiple measures of data, to create a shared vision and a continuous school improvement plan that gets implemented – a plan that doesn't just gather dust on an office shelf.

The revised edition is updated throughout including new chapters on school processes, student achievement, and evaluation. As always, Dr. Bernhardt provides a wealth of tools, protocols, timelines, examples, and strategies that will help schools and districts become genuine learning organizations.

Acerca del autor:

Victoria L. Bernhardt, Ph.D., is the former 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 at all levels to gather, analyze, and use data to continuously improve learning for all students. She is also a Professor Emerita in the College of Communication and Education, at California State University, Chico.

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Detalles bibliográficos

Título: Data Analysis for Continuous School ...
Editorial: Routledge
Año de publicación: 2025
Encuadernación: Encuadernación de tapa blanda
Condición: New
Edición: 5ª Edición o Posterior

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