In this video, Dr. Steve Goodman, Director of Michigan's Integrated Behavior and Learning Support Initiative, discusses considerations for ensuring that intensive interventions are implemented with fidelity.
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DBI Process
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This question bank includes questions that teams can use to develop a hypothesis about why an individual or group of students may not be responding to an intervention.
In this article, school psychologist Kelly Glick shares about the role school psychologists play in implementing intensive intervention through a data-based individualization (DBI) process and how implementing DBI has impacted her district.
This series is intended for educators at the state and local level who work with secondary students with intensive behavioral needs during virtual learning and the return to in-person.
If you are like most educators, you agree with the idea of providing intensive intervention for students with the most intractable academic and behavior problems. The question you may be asking is, how do I find the time? This guide includes strategies that educators can consider when trying to determine how to find the time for this intensification within the constraints of busy school schedules. Supplemental resources, planning questions, and example schedules are also provided.
These videos and tips are part of a series of products to support students with intensive needs in the face of COVID-19. These videos illustrate how parents and grandparents can implement the NCII reading and mathematics sample lessons to provide additional practice. In addition to the video examples, a tip sheet is available to help parents implement the lessons. Implementation of Reading Lesson: Parent Example
Data teams serve multiple roles in the data-based individualization (DBI) process and across a multi-tiered system of supports (MTSS). Although schools may have multiple teams that review different types of data across a multi-tiered system of supports (MTSS), the intensive intervention or DBI team is focused on the needs of individual students who are not making progress in their current intervention or special education program. It is critical that these meetings are driven by data, occur regularly, and use an efficient, consistent process that allows participants to review progress and make intervention decisions for students. NCII has created a series of tools to help teams establish efficient and effective individual student data meetings.
NCII, through a collaboration with the University of Connecticut, developed a set of course content focused on developing educators’ skills in designing and delivering behavior support in intensive intervention. This content is designed to support faculty and professional development providers with instructing pre-service and in-service educators who are developing and/or refining their implementation of behavior support in intensive intervention.
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.