This webinar provides an overview of a project focused on increasing literacy outcomes using DBI, inclusion, and enhancing individualized education programs.
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DBI Process
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Implementation Guidance and Considerations
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Using DBI to Improve Literacy Outcomes for Students with Intellectual and Developmental Disabilities
This IRIS Star Legacy Module, first in a series of two, overviews data-based individualization and provides information about adaptations for intensifying and individualizing instruction. Developed in collaboration with the IRIS Center and the CEEDAR Center, this resource is designed for individuals who will be implementing intensive interventions (e.g., special education teachers, reading specialists, interventionists).
NCII partnered with Project STAIR (Supporting Teaching of Algebra: Individual Readiness) to host a series of three webinars focused on implementing data-based individualization (DBI) with a focus on mathematics during COVID-19 restrictions.
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.
This webinar discusses the integrated relationship between academics and behavior, reviews a case study example using DBI to provide individualized integrated academic and behavioral support based on student need, and shares behavioral strategies.