"This book offers a compelling message of hope and resolve. The authors' three-year journey in a multiplicity of diverse, underperforming, high-poverty schools across the nation has resulted in a treasure chest of knowledge and experiences about how to professionally develop data coaches in ways that benefit some of our most underserved students. This book provides powerful resources to those who have the belief, passion, and desire for implementing collaborative data inquiries in schools and districts."
—From the Foreword by Ruth S. Johnson
Use data as an effective tool for school change and improvement!
How can data coaches create a collaborative culture in which data is used continuously and effectively to improve teaching and learning?
The Data Coach's Guide to Improving Learning for All Students provides detailed guidance for helping schools move away from unproductive data practices and toward examining data as a catalyst for systematic and continuous improvement in instruction and student learning. To help both current and aspiring data coaches facilitate school-based data teams and lead teachers in collaborative inquiry, the authors demonstrate a data model that has been field-tested and proven to be effective in:
- Narrowing achievement gaps between students in all content areas and grade levels
- Achieving strong, steady gains in local and state assessments in mathematics, science, and reading
- Using data as a springboard for powerful conversations about race/ethnicity, class, educational status, gender, and language differences
- Developing shared values and a vision for creating a high-performing, data-informed school culture
This culturally responsive resource benefits staff developers, teachers, and administrators interested in creating change through effective data practices, and includes a CD-ROM keyed to the book, with templates, handouts, PowerPoint slides, resources, and sample goals and agendas.
|Task 1 Launch the Data Team|
|Task 2 Reflect on Our School|
|Task 3 Raise Awareness of Cultural Diverstiy|
|Task 4 Commit to Shared Values, Standards, and Vision|
|Task 5 Build Data Literacy|
|Task 6 Drill Down into State CRT Data: Aggregate-Level Analysis|
|Task 7 Drill Down into State CRT Data: Disaggregate-Level Analysis|
|Task 8 Drill Down into State CRT Data: Strand-Level Analysis|
|Task 9 Drill Down into State CRT Data: Item-Level Analysis|
|Task 10 Examine Student Work|
|Task 11 Drill Down into common Assessments and Other Local Student-Learning Data Sources|
|Task 12 Identify a Student-Learning Problem and Goal|
|Task 13 Conduct Cause-And-Effect Analysis|
|Task 14 Verify Causes through Research and Local Data|
|Task 15 Build Your Logic Model|
|Task 16 Refine Outcomes and Strategies|
|Task 18 Take Action and Monitor Results|
|Task 19 Celebrate Success and Renew Collaborative Inquiry|