Data analysis for continuous school improvement / Victoria L. Bernhardt.
Material type:
- text
- volume
- 9781138127104
- LB 1028.46 .B457 2013
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DLSU-D GRADUATE STUDIES Graduate Studies | Graduate Studies | LB 1028.46 .B457 2013 (Browse shelf(Opens below)) | Available | 3AEA2015005983 |
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LB 1028.38 .G122 2005 Principles of instructional design / | LB 1028.43 .F749 1996 The computer as a productivity tool in education / | LB 1028.43 .R31 2019 Responsible analytics and data mining in education : global perspectives on quality, support, and decision-making / | LB 1028.46 .B457 2013 Data analysis for continuous school improvement / | LB 1028.46 .P785 1997 Education for an information age : | LB 1028.5 .Ed83 1996 Education and technology : | LB 1028.5 .F495 2006 Learning in real time : |
Includes bibliographical references and index.
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.
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