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.
Search
Resource Type
DBI Process
Subject
Implementation Guidance and Considerations
Student Population
Audience
Search
The purpose of this document is to provide an overview of the Center’s accomplishments and to highlight a set of lessons learned from the 26 schools that implemented intensive intervention while receiving technical support from the Center.
This updated training module provides a rationale for intensive intervention and an overview of data-based individualization (DBI), NCII’s approach to providing intensive intervention. DBI is a research-based process for individualizing validated interventions through the systematic use of assessment data to determine when and how to intensify intervention. Two case studies, one academic and one behavioral, are used to illustrate the process and highlight considerations for implementation.
This white paper summarizes the proceedings of a summit that was focused on integrating research knowledge on promising approaches into intensive intervention and implementation to improve academic outcomes for students with disabilities who have severe and persistent learning need. In addition, it includes responses from three participants representing perspectives from policy (David Chard, Wheelock College), research (Nathan Clemens, University of Texas at Austin), and practice (Steve Goodman, Michigan Integrated Behavior and Learning Support Initiative).
The purpose of this module is to introduce schools interested in implementing intensive intervention to the infrastructure needed to implement data-based individualization (DBI). The module includes presentation slides with integrated activities and handouts to help teams determine their readiness and develop an action plan for implementation.
This video from the REL Midwest features Michigan educators discussing how districts can accelerate reading growth for young learners. Educators and leaders from Chippewa Hills School District, specifically discuss the use of data-based individualization (DBI).
How do you know if an intervention, program, or practice is likely to be effective with a particular subgroup of students? What resources are there to help school, district, and State leaders identify and select evidence-based practices (EBPs)? EBPs play an increasingly prominent role in Federal education policy. In both State Systemic Improvement Plans (SSIPs) and provisions in the Every Student Succeeds Act (ESSA), States are being asked to implement practices and programs that have evidence of effectiveness.
This collection contains modules that can be used for professional development for middle school leaders, teachers, interventionists and instructional coaches to build their capacity to students who require intervention in mathematics. Basic Facts and Computations. Building Fluency and Conceptual Understanding: Middle School Level Connecting Intervention and Core Instruction. Instructional Strategies to Bridge Skills that Lead to Success: Middle School Level
This collection contains modules that can be used for professional development for elementary leaders, teachers, interventionists and instructional coaches to build their capacity to support students who require mathematics intervention.
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.
![center product](/themes/custom/sass_boot/images/center_product.png)