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.
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DBI Process
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Implementation Guidance and Considerations
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This checklist can be used by intervention providers or planning teams to review, document, and improve implementation of the data-based individualization (DBI) process and monitor whether the student intervention plans were implemented as intended.
In this video, Dr. Devin Kearns, an Assistant Professor of Special Education in the Department of Education Psychology at the Neag School of Education at the University of Connecticut and NCII Trainer & Coach, discusses importance of consistency when selecting, administering, and scoring progress monitoring tools.
In this video, Mike Jacobsen, Assessment and Curriculum Director, White River School District in Washington State discusses how their districts planned for and implemented intensive intervention within the districts RTI model.
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 the importance of intensive interventions in academics and behavior.
In this video, Dr. Evelyn Johnson, Associate Professor at Boise State University, discusses how data can be used to support eligibility decisions for students with disabilities.
In this video, Mary Randel, a doctoral candidate in Special Education at Michigan State University & NCII Coach for the Swartz Creek School District, addresses the importance of ensuring that students with disabilities have access to supports across the tiers of a tiered frameworks, especially intensive intervention.
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.
This collection contains modules that can be used for professional development for middle school leaders, teachers, interventionists and instructional coaches to build their capacity to students who require intervention in mathematics. Basic Facts and Computations. Building Fluency and Conceptual Understanding: Middle School Level Connecting Intervention and Core Instruction. Instructional Strategies to Bridge Skills that Lead to Success: Middle School Level
This collection contains modules that can be used for professional development for elementary leaders, teachers, interventionists and instructional coaches to build their capacity to support students who require mathematics intervention.
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