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1. Introduction. 2. The Continuous School Improvement Framework. 3. Who We Are: Demographic Data. 4. How We Do Business: Perceptions Data. 5. How Our Students Are Doing: Student Learning Data. 6. What Are Our Processes: School Processes Data. 7. How We Got to Where We Are: Looking Across All of the Data. 8. What Is Working and What Is Not Working: Delving Deeper into the Data. 9. Where We Want to Go: Creating a Shared Vision. 11. Strategies for Teachers: Using Data to Improve Teaching and Learning. 12. Are We Making a Difference: Evaluating our Efforts and Moving towards Becoming a Learning Organization. References and Resources. Index.
Victoria L. Bernhardt, Ph.D., is Executive Director of the Education for the Future Initiative and is Professor (currently on leave) in the College of Communication and Education at California State University, Chico, USA. She is the author of over 19 books.
"Just when I thought Vickie Bernhardt could not be more clear and concise--here comes the second edition! This revised edition will no doubt benefit our Educational Leadership faculty and graduate students." --Andy Pushchak, Program Head and Professor of Educational Leadership, Edinboro University "We are so happy to have this little data book to support our statewide shift to comprehensive data analysis and continuous school improvement. In our statewide school leadership team trainings, we use Data Analysis for Continuous School Improvement, 3rd Edition, because it is so comprehensive. Data, Data Everywhere is perfect for staff not involved in the leadership training, as it still introduces them to the processes and tools for continuous school improvement." --Sharon Nakagawa, Administrator, School Transformation Branch, Hawaii Department of Education "Perhaps more important than explaining the Continuous School Improvement Framework, Data, Data Everywhere is a guide for actually using data when implementing the improvement plan. Far too often such plans (frequently required by state boards of education) are drafted, submitted, and promptly forgotten." --Alex T. Valencic, MiddleWeb