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• Data-Driven Leadership
• More Praise for Data-Driven Leadership
• The Jossey-Bass Leadership Library in Education
• Titles in the Jossey-Bass Leadership Library in Education Series
• Copyright
• Contents
• The Authors
• Acknowledgments
• Chapter 1: The Promise and Pitfalls of Data-Driven Decision Making
• Perils and Perverse Incentives
• Cheating on State Tests
• Implementing Quick Fixes
• Targeting Students Just below Accountability Thresholds
• Narrowing of the Curriculum
• Data Overload
• The Promise of Data Use for Equity and Excellence
• What Counts as Data?
• What Is Data-Informed Decision Making?
• The Critical Role of Data-Informed Leadership
• The Knowledge Base for This Book
• Organization of the Book
• Chapter 2: The Four Ps of Educational Reform People, Policies, Practices, and Patterns
• A Framework for Understanding Data Use: The Power of the Four Ps
• The Four Ps Approach to Understanding Data-Informed Leadership
• The Data Use Studies
• Site Selection
• Data Collection
• Important Features of the Sites We Studied
• The People: A History of Stable Leadership
• The Policy Context: High-Stakes Accountability
• Practices and Patterns: Common Reform Features
• To Sum Up
• Chapter 3: Reculturing for Data Use
• Creating a Culture of Data Use for Continuous Improvement
• The Role of Culture in Enabling Data Use: Partnerships between Schools and Districts
• Understanding How Change Happens and Using Data Thoughtfully
• Establishing Expectations
• Sharing Data for Decision Making
• Building Trust through Flexibility and Teacher Expertise
• Creating a Culture of High Expectations for Student Learning
• Shifts in Beliefs and Ongoing Tensions
• To Sum Up
• Chapter 4: Goals, Routines, and Tools for Data Use
• The Importance of Goal Setting to Measure Progress
• Tools: District Curricular Guidelines
• Common Curriculum
• Pacing Plans
• Routines: Benchmark Assessments
• Development of Benchmark Assessments
• Usefulness of Benchmark Assessments
• Tools: Data Management Systems
• Routines: Structured Time for Collaboration
• Making Collaboration Happen
• The Value of Collaboration
• Tools: Protocols to Guide Data-Informed Decision Making
• To Sum Up
• Chapter 5: Using Data for Instructional Improvement
• Using Multiple Types of Data Tied to Learning and Teaching Goals
• How Data Use Changes Classroom Practices: Pausing, Reflecting, and Reteaching
• Moving toward Student Engagement as the Center of Instructional Improvement
• Data Don’t Tell Us Everything
• Building Instructional and Data Use Knowledge and Skills: Challenges and Supports
• Teacher Development
• Systemic Support
• To Sum Up
• Chapter 6: Facing the Future with Data-Informed Leadership
• Call #1: Use Data to Support a Culture of Inquiry and Continuous Improvement
• Call #2: Use Knowledge of the Four Ps in Planning Reform Efforts
• Call #3: Build Trust in the Process of Data Use
• Call #4: Build Skills and Knowledge for Data Use
• Call #5: Establish Goals, Routines, and Tools to Support Data Use
• Call #6: Keep Equity Concerns at the Forefront
• Call #7: Center Data Use around Improving Instructional Practice
• Facing the Future with Bold Leadership
• Appendix: Characteristics of Case Study Schools and Districts
• Notes
• Index