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.
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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.
In this video, Sandy Cook, NCII Coach and Differentiated Instruction Specialist at Elms Road Elementary in Swartz Creek Michigan & Michele Corbat, NCII Coach and Principal at Morris Elementary in Swartz Creek Michigan, discuss the importance of leadership to support implementation of intensive intervention.
This updated training module provides a rationale for intensive intervention and an overview of data-based individualization (DBI), NCII’s approach to providing intensive intervention. DBI is a research-based process for individualizing validated interventions through the systematic use of assessment data to determine when and how to intensify intervention. Two case studies, one academic and one behavioral, are used to illustrate the process and highlight considerations for implementation.
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.
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.
The Wyoming Department of Education has been implementing DBI since 2016 and has worked intensively with NCII since 2020.
In Module 8 of the Intensive Intervention in Mathematics Course Content we highlight the necessity for implementing evidence-based practices with fidelity. We also explain how to make adaptations to the instructional platform when students demonstrate inadequate progress. We finish this module by putting all the information learned across modules together with the intensive intervention framework.
Teams are a vital part of an effective multi-tiered system of supports (MTSS) across both academics and behavior as well as special education. Making connections across the across the various teams used in MTSS and special education can be challenging. This resource from NCII and the PBIS Center, provides information about how DBI can support IEP implementation and provides a table with key considerations for teams working across the MTSS system.
The Rhode Island Department of Education (RIDE) has been partnering with NCII since 2012 to support DBI implementation within Rhode Island.