Data-Driven Instructional Leadership Book

Acknowledgments v Foreword vii Introduction xi
1 Overview of the Data-Driven Instructional System Model 1 Making Sense Out of Chaos 1 Data Collection 4 Data Reflection 5 Data Translation 7 Data-Driven Instructional Design 8 Design Feedback 9 Summative and Formative Assessment 10 Goal Setting and Getting Started 11
2 Data Collection 13 The Who, What, Where, When, Why, and How of Data Collection 13 The What and the Why of Data Collection 14 Demographic Data 14 Student Learning Data 15 School Process Data 16 Perceptions Data 17 The Who, When, and How of Data Collection 18
3 Data Reflection 25 How and When do Teachers and Administrators Find Time to Analyze and Interpret Data? 25 District Data Retreat Workshop 25 Professional Learning Time 36
4 Data Translation 41 How and When Are the Data Translated Into Program and Curriculum Changes? 41
5 Data-Driven Instructional Design 51 How and When Are Data Translated Into Instructional Change at the Classroom Level? 51
6 Design Feedback 59 How and When Is the DDIS Model Adjusted and Evaluated for Success, and How Is Information Shared With School District Stakeholders? 59
7 Summative and Formative Assessment 65 What Types of Assessment Data Are Most Useful for Informing Instruction? 65
8 Summary and Results: Is It Worth It? 73
9 Conclusion 103 How to Get Started 103 Appendix A 107 SASIxp Data-Entry Protocol 107 Page 1 108 Page 2 109 Page 3 109 Appendix B Example of a Tiered Lesson Plan for 8th-Grade Mathematics 111 Appendix C Guided Comprehension: Content Area Reading Strategies-Context Clues 113 Appendix D Newsletter Creation 115 Appendix E Tiered Lesson 121 Bibliography 123