This brief reviews provides considerations for creating readiness to implement DBI to support successful implementation and scale-up in schools.
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DBI Process
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Implementation Guidance and Considerations
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Opportunity to register for this CoP is now closed. Additional opportunities for professional development providers and coaches will occur in the future. Are you an professional development provider interested in learning more about data-based individualization (DBI) and how to support educators to implement DBI? NCII is excited to launch a community of practice (CoP) for individuals who work in schools, districts, or state agencies who conduct, design, or supervise professional development activities for educators on topics related to intensive intervention. You’ll get to learn from experts and network with others in similar roles.
After initial data-based individualization (DBI) implementation, schools and districts need to own the work and deliver ongoing support, including supports for new teachers within existing budgets and staff time. Planning for sustainability upfront can help district leaders to streamline their implementation efforts. In New York City, Jason Borges and Meghan Duffy from the New York City Department of Education have found several successful strategies for DBI implementation that have helped make DBI self-sustaining. This audio story shares their DBI implementation approach, successes, and lessons learned about sustainability. The recording is broken into three parts.
In this Voices from the Field post, we archive the presentations from day 2 of the NCII 10-year celebration of the implementation of intensive intervention. On this day, panelists shared stories focused on preparing in-service and pre-service educators and leaders to implement intensive intervention.
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.
This three-part Voices from the Field video series profiles how Education Service Center (ESC) 15 in Texas approached implementing the DBI process in San Saba Independent School District (ISD). In these videos, Dedra Carter and Valerie Moos from ESC 15 and Jenna McSherry from San Saba ISD, discuss their experiences and recommendations for other districts implementing DBI.
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).
During fall 2020, educators provided virtual, in-person, and hybrid intervention with an ongoing need to engage with and support parents and families. Although the context and environment may have changed, the focus on providing high-quality interventions with validated practices, monitoring student progress, and adapting and intensifying supports based on student data as outlined in the data-based individualization (DBI) process continues to be applicable across virtual, in-person, or hybrid models. This document presents considerations for implementing DBI in light of COVID-19 with an emphasis on delivery in virtual settings.
This Innovation Configuration can serve as a foundation for strengthening existing preparation programs so that educators exit with the ability to use various forms of assessment to make data-based educational and instructional decisions within an MTSS. The expectation is that these skills can be further honed and supported through inservice as practicing teachers.
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.