Transforming Teaching and Learning Through Data-Driven Decision Making
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Transforming Teaching and Learning Through Data-Driven Decision Making



© 2012 | 280 pages | Corwin

Connect data and instruction to improve practice

Gathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text's integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on:

  • Assessment
  • Statistics
  • Instructional and differentiated psychology
  • Classroom management
 
Acknowledgements
 
About the Authors
 
Introduction
 
1. The Context of Data-Driven Decision Making
 
2. What Research Tells Us About Data-Driven Decision Making
 
3. Technology to Support Data-Driven Decision Making
 
4. Continuous Capacity Building: Data-Driven Decision-Making Skills and Pedagogical Data Literacy
 
5. Using Data for Continuous Improvement: Processes and Structures
 
6. Building a Culture to Use Data
 
7. Differentiated Instruction Using Formative Assessments
 
8. CHOPS: Learning from Examples and Closing Thoughts
 
Endnotes
 
References
 
Index

A complementary text for the new course in Master of Education Policy program aimed at school administrators and educational specialist whose work is associated with the data-driven decision making.
This text seems to be a good introduction to the rationale for using data in education context.

Ms Margarita Pivovarova
Mary Lou Fulton Teachers College, Arizona State Univ-Tempe
November 4, 2014

Sample Materials & Chapters

Introduction

Chapter 1: The Context of Data-Driven Decision Making


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ISBN: 9781412982047

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