Print
Create flyerThe Data-Driven School
Collaborating to Improve Student Outcomes
Daniel M. Hyson, Joseph F. Kovaleski, Benjamin Silberglitt, and Jason A. Pedersen
Request a free digital professor copy on VitalSource ?I. The Engine for a Data-Driven School: Systems-Level Problem Solving
1. The Rationale and Context for a Data-Driven School 
2. Systems-Level Problem Identification
3. Systems-Level Problem Analysis
4. Systems-Level Plan Development, Plan Implementation, and Plan Evaluation
II. The Roadmap for a Data-Driven School: Data-Analysis Teaming across Multiple Levels
5. Data-Driven Problem Solving at the Grade, Classroom, and Student Levels: Initial Considerations
6. Implementing Data Teaming at the School and Grade Level for Academic Skills
7. Implementing Data Teaming at the School and Grade Level for Behavior and Social–Emotional Skills
III. Building the Capacity for a Data-Driven School
8. Data Management Using Technology
9. Developing Data Leaders
Appendix 1. Identifying Gaps in Your Comprehensive Assessment System
Appendix 2. Case Example: Setting Your Own Target Scores
Appendix 3. Data Activity
References
Index
