Equity in Data

A Framework for What Counts in Schools

Andrew Knips, Sonya Lopez, Michael Savoy, Kendall LaParo

• Publisher: ASCD
• Year: 2022
• Print ISBN: 9781416631392
• eBook ISBN: 9781416631415
• Topic: Pedagogía
• Subtopic: Administración de la educación

Building a better data culture can be the path to better results and greater equity in schools. But what do we mean by data?

Your students are not just statistics. They aren't simply a set of numbers or faceless dots on a proficiency scale. They are vibrant collections of experiences, thoughts, perspectives, emotions, wants, and dreams. And taken collectively, all of that information is data—and should be valued as such.

Equity in Data not only unpacks the problematic nature of current approaches to data but also helps educators demystify and democratize data. It shows how we can bake equity into our data work and illuminate the disparities, stories, and truths that make our schools safer and stronger—and that help our students grow and thrive.

To this end, the authors introduce a four-part framework for how to create an equitable data culture (along with a complementary set of data principles). They demonstrate how we can rethink our approach to data in the interest of equity by making five shifts:

* Expand our understanding of data.
* Strengthen our knowledge of data principles.
* Break through our fear of data.
* Decolonize our data gathering processes.
* Turn data into meaningful, equitable action.

We have an opportunity to realign school data with what students want out of their educational experiences. When we put equity first, we put students first.

Table of contents

• Cover
• Title Page
• Table of Contents
• Praise for Equity in Data
• Acknowledgments
• Introduction
• Equity Data Principles
• Chapter 1. A Framework for Equitable Data Culture
• Chapter 2. Schools: School Identity, Equity Audits, Goals, and Public Statements
• Chapter 3. Classrooms: Gifted Lens and Student Data Conversations
• Chapter 4. Student Well-Being: Healing-Centered Engagement, Restorative Practices, and Tracking Critical
• Chapter 5. Teacher Selection: Recruitment, Hiring, and Evaluation
• Chapter 6. Professional Learning Communities: An Extended Example of EDC Data Meeting Traps
• Data Meeting Traps
• Chapter 7. Professional Learning: Action Research and Coaching
• Chapter 8. Conclusion
• References
• About the Authors
• Related ASCD Resources
• Copyright