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, presented by Dr. Erica Lembke, Nicole Bucka, and Dr. Gail Chan, 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 intended to support teachers working with students with primary academic deficits and challenging behaviors.
This webinar, led by Dr. Russell Gersten, provided an overview of the research related to RTI and mathematics and described specific guidelines for implementation for grades K-7. The topics discussed included effective instructional practices for interventions, strategies for screening and progress monitoring, and criteria to think about when selecting intervention curricula. The webinar also offered a candid appraisal of the quality and quantity of research on these topics.
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