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).
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The purpose of this document is to provide content-specific examples of how to structure educator-level and/or systems-level coaching as a mechanism to ensure ongoing professional learning to support tiered intervention. This document provides examples of coaching supports, models, and functions within the context of tiered intervention (e.g., RtI, PBIS, MTSS) and data-based decision making (e.g., data-based individualization [DBI]) for educators who already have foundational knowledge and/or experience with coaching.
This Voices from the Field piece highlights how North Carolina, Oregon, Washington, and Texas have raised awareness, visibility, and statewide knowledge of data-based individualization (DBI) at statewide conferences through keynote speakers, workshops, breakout sessions, and facilitated team time.
Part 2 of the two part series about UCF's project bridges highlights challenges and successes the program has faced when trying to build the skills and competencies of educators to implement intensive intervention.
This video highlights strategies and resources to build the capacity of educators and families to engage in effective partnerships across all tiers of support, including for students with intensive need
This webinar provides an overview of the Academic Intervention Taxonomy Briefs and describes how they can help teachers design productive intervention programs for students with intensive academic needs.
This webinar discusses classroom management strategies educators can apply to improve access and outcomes for students with disabilities and students with intensive needs.
This webinar describes how the RIOT/ICEL matrix can support problem-solving by helping teams to organize their diagnostic data, refine hypotheses, and guide decision making.
This collection highlights a sampling of articles focused on intensive intervention and data-based individualization (DBI). Although there is a wealth of research on key components of the DBI process (e.g., progress monitoring, validated intervention programs), this list is not intended to include articles that focus on specific steps in the DBI process, nor is it an exhaustive review of all available literature. In the list below, we highlight seminal research on DBI and articles published since 2011, when NCII was first funded.
In this Voices from the Field post, we archive the presentations from day 1 of the NCII 10-year celebration of the implementation of intensive intervention. On this day, panelists shared stories focused on creating the systems to support implementation of intensive intervention.
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