ABSTRACT
Chapter 4 showcases how schools can coordinate the use of culturally and linguistically responsive data practices that integrate instructional and social-emotional support to help multilingual learners (MLs) thrive in school. We present a ML data framework that brings together language and literacy assessment data with cross-cultural and social-emotional learning (SEL) data and explain how a tiered assessment system solves for the limitations of existing assessments and centers the assets and needs of MLs. We provide examples and tools that show how schools implement a ML data framework, as well as examples of classroom progress monitoring strategies for reading, writing, and SEL to inform decision making in classroom instruction for MLs. We end with an action planning tool that schools can use to implement culturally and linguistically responsive data practices in their own contexts.
