This webinar explores current practices on behavioral screening within the context of a tiered system of support and provide an overview of NCII’s behavior screening tools chart.
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This video from the REL Midwest features Michigan educators discussing how districts can accelerate reading growth for young learners. Educators and leaders from Chippewa Hills School District, specifically discuss the use of data-based individualization (DBI).
In this video, Dr. Rebecca Zumeta Edmonds, Co-Director of NCII discusses the role professional development should play when preparing staff to implement a multi-tiered system of supports.
In this video, Nicole Bucka, a NCII coach and MTSS professional development provider for Rhode Island shares why it is important to consider academics and behavior in an integrated manner.
NCII developed a series of mathematics lessons and guidance documents to support special education instructors, mathematics specialists, and others working with students who struggle with mathematics. These lessons and activities are organized around six mathematics skill areas that are aligned to college– and career-ready standards, and incorporate several instructional principles that may help intensify and individualize mathematics instruction to assist teachers and interventionists working with students who have difficulty with mathematics.
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 Voices from the Field piece highlights how North Carolina, Oregon, Washington, and Texas have raised awareness, visibility, and statewide knowledge of data-based individualization (DBI) at statewide conferences through keynote speakers, workshops, breakout sessions, and facilitated team time.
Part 2 of the two part series about UCF's project bridges highlights challenges and successes the program has faced when trying to build the skills and competencies of educators to implement intensive intervention.
NCII provides a series of reading lessons to support special education instructors, reading interventionists, and others working with students who struggle with reading. These lessons, adapted with permission from the Florida Center for Reading Research and Meadows Center for Preventing Educational Risk, address key reading and prereading skills and incorporate research-based instructional principles that can help intensify and individualize reading instruction.
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.