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.
Implementation Guidance and Considerations
The purpose of this annotated bibliography is to identify and describe major synthesis studies that have been conducted to date regarding the effectiveness of intervention strategies targeting students with disabilities who have intensive academic or behavioral needs. This annotated bibliography was updated March 2015 to include two new studies.
In this video, Dr. Sharon Vaughn, Senior Advisor to the National Center on Intensive Intervention and the Executive Director of The Meadows Center for Preventing Educational Risk, discusses intensive academic interventions and supplies up to date information about the status of research studies on the subject.
This synopsis, published in 2007, highlights key findings from a synthesis of research on interventions for struggling math students. Baker, Gersten, and Lee (2002) synthesized findings from 28 years of research on interventions for students struggling in learning math. Access this Resource
Taking early action may be key to helping students struggling with mathematics. The eight recommendations in this guide are designed to help teachers, principals, and administrators use Response to Intervention for the early detection, prevention, and support of students struggling with mathematics. Access this Resource