You are here

Putting FACES on the Data
Share

Putting FACES on the Data
What Great Leaders Do!

  • Lyn Sharratt - University of Toronto, Canada
  • Michael Fullan - Michael Fullan Enterprises Inc., Ontario Institute for Studies in Education, Canada

Foreword by Sir Michael Barber



© 2012 | 280 pages | Corwin

Published in Association with Learning Forward

Published in Association with Ontario Principals' Council

Read EdWeek's review of Putting FACES on the Data.

Build the bridge from data collection to improved instruction

Students are people—not data. Assessment data can bury you or give you focused information on how to reach every student. Putting Faces on the Data shows how to develop a common language for sharing all students' progress with all teachers and leaders and how to use ongoing assessment to inform instruction. Based on worldwide research from more than 500 educators, this book presents solutions organized by:

  • Assessment
  • Instruction
  • Leadership
  • Ownership

The many benefits of personalizing data include increased student engagement and a positive impact on school culture. This reader-friendly guide helps you set goals, adjust lessons, identify students' strengths and weaknesses, and implement interventions. Included is a self-assessment framework for implementing improvement at the district and state levels. By focusing on connecting all the dots between students and data, you can accomplish the ultimate goal of helping them learn.

 
List of Figures and Tables
 
Foreword by Sir Michael Barber
 
Preface
 
Acknowledgments
 
About the Authors
 
1. From Information Glut to Well-Known FACES
 
2. The Power of Putting FACES on the Data
 
3. Making It Work in Practice -- Assessment
 
4. Making It Work in Practice -- Instruction
 
5. Leadership -- Individualizing for Improvement
 
6. Ownership -- Of All the FACES
 
Epilogue
 
Glossary of Terms
 
Appendix A. Matrix of Scaffolded Learning Using the Gradual-Release-of-Responsibility Model
 
Appendix B. Data Collection Placemat for Research
 
Appendix C. Case Management Template
 
Appendix D.The Teaching-Learning Cycle
 
Appendix E. Weekly Literacy Block Planner
 
Appendix F. Task-Oriented Question Construction Wheel Based on Bloom's Taxonomy
 
Appendix G. Cross-Curricular Literacy Indicators of Success
 
Appendix H. Guiding Questions for Collaborative Team Book Study
 
References
 
Index

"Too often the debate about education sets up a false dichotomy between rigorous use of data on the one hand and teachers' professionalism on the other. This book demonstrates triumphantly that when the two go together, students benefit."

Sir Michael Barber
Chief Education Advisor at Pearson and Author of Deliverology 101: A Field Guide for Educational Leaders

"This is a very good book and the Canadian educationalists should be congratulated on producing a high quality piece of work. In general terms it is well laid out and well-presented, making it easy for the reader to access."

Brent Davies, Professor
University of Hull and the University of Melbourne

"This book is recommened as a professional development tool for anyone interested in using data to improve school achievement. It would be particularly useful as a study guide for teachers and schools focused on learning how to use data effectively to support their work with children in their own classrooms."

Melanie Tait
Education Today

"The book sets out to integrate two aspects of school improvement that most think are mutually exclusive: data to improve schools and systems and data to improve the individual child's learning experience. It is a remarkable book as it achieves this challenging task. A great read."

Brent Davies, Professor Emeritus the University of Hull
Professorial Fellow University of Melbourne
Key features
  • Includes examples from the authors' current work as well as new situations that are being developed
  • Includes numerous cases from the U.S and Canada
  • The book will set the context for how this data work fits into a larger district/state picture
  • Book is based on 3 research questions given to a pool of over 500 educators- why put FACES on data; how do we do so; and what leadership qualities would be necessary to lead a system that did this well?

Sample Materials & Chapters

Preface

Chapter 1: From Information Glut to Well-Known FACES


Preview this book

For instructors

Select a Purchasing Option

ISBN: 9781452202587
$37.95