This module was adapted from a series of training modules developed by the National Center on Intensive Intervention (NCII) and is aimed at district or school teams involved in the initial planning for using data-based individualization (DBI) as a framework for providing intensive intervention in academics and behavior. The audience for this module may include school teams supporting academic intervention and progress monitoring in middle school mathematics.
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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 brief offers recommendations to support educators to efficiently collect, analyze, and use diagnostic data to adapt or intensify intervention.
This webinar introduces the Taxonomy of Intervention Intensity as a method for systematically selecting an intensive intervention and guide teachers through modifying the intervention based on student need.
Research tells us that ongoing coaching is essential for achieving practice change. And without ongoing coaching and practice opportunities, professional development is highly unlikely to lead to increased knowledge and skills to implement a new practice soundly. This rings especially true for complex processes like data-based individualization (DBI). DBI requires that educators commit to engaging in the iterative process of providing intervention, analyzing progress monitoring data, and making data-based decisions to adapt and individualize interventions when needed. To help schools effectively implement DBI, ongoing implementation support in the form of coaching that provides opportunities to learn critical information, apply and receive feedback, and troubleshoot problems when they occur is essential.
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.
In this article, Drs. Mary Little, Cynthia Pearl and Dena Slanda share lessons and strategies to support teachers in developing the skills and competencies to implement intensive intervention.
This webinar discusses strategies to help teacher education faculty integrate the principles of intensive intervention within undergraduate and graduate-level programs for aspiring and current teachers.
The Academic Intervention Taxonomy Briefs provide educators with information they can use to evaluate the appropriateness of academic interventions available on the academic intervention tools chart for a specific student or group of students who require intervention. The information included in the briefs is organized along the seven dimensions of the Taxonomy of Intervention Intensity
The purpose of this module, Behavior Basics: Understanding Principles of Behavior, is to gain foundational knowledge of what behavior is, how behavior is defined, and what environmental factors influence behavior. This foundational knowledge is core to understanding behavior, supporting students with challenging behavior, and later, diagnosing function of behavior and developing effective behavioral interventions.