This webinar provides an overview of a project focused on increasing literacy outcomes using DBI, inclusion, and enhancing individualized education programs.
Search
Resource Type
DBI Process
Subject
Implementation Guidance and Considerations
Student Population
Audience
Search
Using DBI to Improve Literacy Outcomes for Students with Intellectual and Developmental Disabilities
This brief offers recommendations to support educators to efficiently collect, analyze, and use diagnostic data to adapt or intensify intervention.
This webinar focuses on ways educators and educational leaders can increase their capacity to develop skilled readers and writers, identify critical dimensions for designing intervention platforms as the foundation for effective instruction, and adapt interventions to increase the instructional intensity.
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.
This guide is intended to accompany the sample literacy lessons and activities on the NCII website. It is divided into four sections covering the five components of reading, instructional principles of reading instruction intervention, how to use the NCII reading lessons, and additional resources.
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.