This course collection provides a guide to available NCII courses self-paced learning courses that focus on academic progress monitoring.
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DBI Process
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Implementation Guidance and Considerations
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This online course helps educators learn how to set goals, collect data, and make decisions using academic progress monitoring data.
This course is the second in a series on progress monitoring. This module describes two types of academic progress monitoring measures and considerations for selecting an academic progress monitoring tool.
This IRIS Star Legacy Module, first in a series of two, overviews data-based individualization and provides information about adaptations for intensifying and individualizing instruction. 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).
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).
This guide was developed by Melanie Kowalick an MTSS Curriculum Specialist in Wichita Falls Independent School District. This planning guide may be used for planning short intervention activities, review and practice activities, or progress monitoring checks. During school closures, we learned that virtual intervention does not look the same as face-to-face intervention. Parent support and planning are going to be the key to helping our students who have difficulties with reading and mathematics. For educators or parents, part of this support includes simple ways to monitor student progress.
Data-based individualization (DBI) is a research-based process for individualizing and intensifying interventions through the systematic use of assessment data, validated interventions, and research-based adaptation strategies. This document introduces and describes the DBI process and how it can be used to support students who require intensive intervention in academics and/or behavior.
In this video, Dr. Sharon Vaughn, Senior Advisor to the National Center on Intensive Intervention and the Executive Director of The Meadows Center for Preventing Educational Risk, discusses intensive academic interventions and supplies up to date information about the status of research studies on the subject.
In this video, Dr. Rolland O’Connor, Professor in the Graduate School of Education at the University of California Riverside a member of the NCII Academic Intervention Technical Review Committee, addresses the implications of early reading research for understanding late-emerging reading disabilities, working with students learning English, and preparing teachers to have a strong grounding in the stages of reading development.
In this video, Michelle Hosp, Associate Professor in the College of Education at the University of Massachusetts Amherst discusses why your progress monitoring tool may not directly focus on the skills that you are teaching.