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)
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Erscheint vorauss. 6. März 2026
33,99 €
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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 * Analy...
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
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