Description
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.
Table of Contents
Contents
About the Author
Acknowledgments
- From Compliance to Commitment: Using Data for Continuous School Improvement
- The Continuous School Improvement Framework
- Who We Are: Demographic Data
- How We Do Business: Perceptions Data
- How Are Our Students Doing: Student Learning Data
- What Are Our Processes: School Processes Data
- How Did We Get to Where We Are: Looking Across All the Data
- What is Working and What is not Working: Delving Deeper Into the Data
- Where do we Want to Be: Creating a Shared vision and monitoring its implementation
- How are we going to get to where we want to be: Implementing the shared vision by creating a plan for continuous school improvement
- Strategies for Teachers: Using data to implement the vision through the continuous school improvement plan to improve teaching and learning
- Is What We Are Doing Making a Difference: Evaluating our Efforts
- Continuous School Improvement Timeline: Making Time to do the Work
- The Transformation From a complying school to a learning organization
Appendices
References and Resources
Index
