Data Wise
The Data Wise Improvement Process
An Eight-Step System for Using Data to Improve Teaching and Learning
The Data Wise Improvement Process (DWIP) is an eight-step model that guides teams of educators as they work collaboratively to improve teaching and learning through the collaborative use of data.
DWIP provides a clear, carefully tested blueprint that employs a wide range of evidence, from the “big data” of high-stakes tests to the “street data” collected through classroom observation and information about lived experience gathered from students and their families. And it’s supported by a suite of resources designed to help educators drive positive change.
System Wise: Continuous Improvement at Scale
Celebrating 20 Years of Data Wise
Since 2005, the Data Wise institutes have brought hundreds of educators to Cambridge annually for intensive training, fostering collaborative improvement in schools, districts, and systems.
We’re grateful for the visionary faculty, doctoral students, and practitioners whose research and teaching have advanced our mission: Collaborating So Each Student Thrives.