Data-based individualization (DBI) is a research-based process for individualizing and intensifying interventions through the systematic use of assessment data, validated interventions, and research-based adaptation strategies. This document introduces and describes the DBI process and how it can be used to support students who require intensive intervention in academics and/or behavior.
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This brief provides a framework for using Response to Intervention (RTI) with students who are English Language Learners (ELL) from Hispanic backgrounds. It examines the characteristics of these students; defines the RTI process; and then models how students’ linguistic, cultural, and experiential backgrounds can guide appropriate screening, progress monitoring, and goal setting that will help promote English literacy. The brief concludes with a case study that provides specific recommendations for how to apply screening and progress monitoring with ELLs.
This report from Jobs for the Future and Authored by Sharon Vaughn, Lou Danielson, Rebecca Zumeta Edmonds, and Lynn Holdheide, 1) reviews previous efforts to promote better educational outcomes for students with disabilities, 2) describes research-based instructional strategies that can support them and other struggling learners, and 3) shares the kinds of policies and local resources needed to ensure that all young people have meaningful opportunities to learn deeply and become truly prepared to succeed in college, careers, and civic life.