This IRIS Star Legacy Module, the second in a series on intensive intervention, offers information on making data-based instructional decisions. Specifically, the resource discusses collecting and analyzing progress monitoring and diagnostic assessment data. Developed in collaboration with the IRIS Center and the CEEDAR Center, this resource is designed for individuals who will be implementing intensive interventions (e.g., special education teachers, reading specialists, interventionists).
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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.
This report presents findings from an exploratory study of how five high-performing districts, which we refer to as NCII’s knowledge development sites, defined and implemented intensive intervention. The findings offer lessons that other schools and districts can use when planning for, implementing and working to sustain their own initiatives to provide intensive intervention for students with the most severe and persistent learning and/or behavioral needs.
NCII presented a strand at Center for Exceptional Children (CEC) 2016 Convention and Expo. The strand, Intensive Intervention 2.0: Integrating for Intensity, Learning from Implementation, and Refining our Understanding of Evidence, discuss lessons learned from NCII’s support for implementation of intensive intervention within a multi-tiered systems of support (MTSS) framework. The strand addresses (a) the integration of academic and behavioral intervention to support students with diverse learning needs; (b) successes and challenges observed by school and district leaders attempting to implement intensive intervention in high-needs schools, and; (c) considerations for understanding standards of evidence and identifying appropriate interventions and strategies across tiers of an MTSS system.
This tool is designed to help educators collect and graph academic progress monitoring data across multiple measures as a part of the data-based individualization (DBI) process. This tool allows educators to store data for multiple students (across multiple measures), graph student progress, and set individualized goals for a student on specific measures.
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.
The purpose of this document is to provide an overview of the Center’s accomplishments and to highlight a set of lessons learned from the 26 schools that implemented intensive intervention while receiving technical support from the Center.
This webinar, led by Drs. Lynn Fuchs and Lee Kern addresses a challenge faced by many teachers: feeling inundated by data while struggling to find useful information to guide intervention decision-making
In this video, Dr. Catherine Bradshaw, Deputy Director of the John Hopkins Center for the Prevention of Youth Violence and Co-Director of the John Hopkins Center for Prevention and Early Intervention, discusses PBIS, who it works for, and under what conditions it works best.
This webinar presented by Dr. Lori Newcomer, provides an overview of the key features of behavioral support systems and walked through a “Needs Assessment” document that can be used in various ways (self-assessment, interview, etc..) to examine a school’s behavioral support system and target areas for improvement.
