EBOOK
The Data Book for Educators Who Don't Like Data (and Those Who Want to Use Data Better)
(A practical guide to data-driven decisions)
Michael Roberts(0)
About
Data is one of the most powerful guides to instructional efficacy, revealing insights about the students you serve. Author Michael Roberts challenges educators to move past correlative data to active, data-driven decision making. Learn how to analyze data with a real sense of purpose, uncovering the causal data needed to build effective interventions and innovative teaching strategies that enhance achievement for every student.
K–12 teachers, school leaders, and administrators can use this book to:
• Implement data as an insightful complement to teacher experience, knowledge, and skill
• Analyze data actively and more effectively, finding patterns to inform actionable plans
• Embrace data as a guide for improvement, not a means to threaten and blame
• Cultivate teamwork, trust, and vision among educators sharing data across their school
• Champion efficacy as the guiding principle toward data-driven decisions and changes
Contents:
Introduction
Chapter 1: Data Collection and Compliance Versus Data Use
Chapter 2: The Facts Versus Your Gut
Chapter 3: Data Observation Versus Data Analysis
Chapter 4: Data as a Tool Versus Data as a Punishment
Chapter 5: My Data Versus Our Data
Chapter 6: The Way We've Always Done It Versus Finding a Way That Works
Chapter 7: Data Compliance Versus Data Ownership
Chapter 8: Work-Arounds Versus Plow-Throughs
Epilogue
References and Resources
Index
K–12 teachers, school leaders, and administrators can use this book to:
• Implement data as an insightful complement to teacher experience, knowledge, and skill
• Analyze data actively and more effectively, finding patterns to inform actionable plans
• Embrace data as a guide for improvement, not a means to threaten and blame
• Cultivate teamwork, trust, and vision among educators sharing data across their school
• Champion efficacy as the guiding principle toward data-driven decisions and changes
Contents:
Introduction
Chapter 1: Data Collection and Compliance Versus Data Use
Chapter 2: The Facts Versus Your Gut
Chapter 3: Data Observation Versus Data Analysis
Chapter 4: Data as a Tool Versus Data as a Punishment
Chapter 5: My Data Versus Our Data
Chapter 6: The Way We've Always Done It Versus Finding a Way That Works
Chapter 7: Data Compliance Versus Data Ownership
Chapter 8: Work-Arounds Versus Plow-Throughs
Epilogue
References and Resources
Index