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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This document presents considerations for implementing DBI in light of COVID-19 with an emphasis on delivery in virtual settings.
This checklist can be used by intervention providers or planning teams to review, document, and improve implementation of the data-based individualization (DBI) process and monitor whether the student intervention plans were implemented as intended.
View the recordings from the 3-day event celebrating 10 years of NCII.
The purpose of this module is to introduce schools interested in implementing intensive intervention to the infrastructure needed to implement data-based individualization (DBI). The module includes presentation slides with integrated activities and handouts to help teams determine their readiness and develop an action plan for implementation.
Successful implementation of intensive intervention using data-based individualization (DBI) is more likely to occur in schools that have a well-functioning tiered system of support, commonly called a multi-tiered system of supports (MTSS), response to intervention (RTI), or positive behavioral interventions and supports (PBIS), depending on your location and area of focus. Intensive intervention is considered the most intense level of intervention and also may be known as Tier 3.
These professional learning training materials are intended to assist district or school teams involved in initial planning or implementation of data-based individualization (DBI) as a framework for providing intensive intervention in academics and behavior. The modules listed below provide an overview of the DBI process and more in-depth exploration of the various components of DBI.
In this Voices from the Field post, Emma Shanahan reflects on her experiences with progress monitoring and data-based decision making as a teacher and shares findings from her recent research on DBI professional development.
Successful implementation of a multi-tiered system of supports (MTSS) and, specifically, intensive intervention through the data-based individualization (DBI) process, demands the collection and analysis of data. As teams consider data collection, challenges may occur with assessment administration, scoring, and data entry (Taylor, 2009). This resource reviews three data collection and entry challenges and strategies to ensure data about risk status and responsiveness accurately represent student performance and minimize measurement errors.
This series of lessons from the State Implementation and Scaling-up of Evidence-based Practices (SISEP) Center highlights a research driven approach to coaching. The series begins with an overview lesson and includes additional lessons that cover how to deliver effective and efficient prompting, performance feedback, and scaffolding and using data to identify recipients current phase of learning. A coaching practice profile is also available.