Taking Equity to Scale: Deeper Learning Networks and the Proliferation of Robust Learning Environments

• In Event: 35.077 - MTCC Roundtable Session 13
  In Roundtable Session: 35.077-6 - Iteration, Integrity, and School Improvement

Abstract

One of the mysteries of reform is how to scale successful practices in public schools in ways that break cycles of inequity and produce greater success for marginalized students. This is particularly true when seeking to spread sophisticated pedagogical practices like deeper learning, which enables students to learn academic content and apply knowledge in relevant ways. Some networks have managed to spread deeper learning models in districts without diluting their power and in ways that combat structural inequities. This study focuses on three such networks. In this qualitative case study, we demystify how these exemplary networks have scaled their models by delineating the systems and structures that have enabled them to instantiate their practices in unique contexts.

Authors

• Laura Elena Hernandez, Learning Policy Institute

• Kathryn Bradley, Learning Policy Institute

• Julie Adams, Learning Policy Institute

• DeAnna Duncan Grand, Learning Policy Institute

• Peter Ross, Learning Policy Institute

• Martens Roc, Alliance for Excellent Education