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.
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This module provides an overview of diagnostic assessments, using error analysis with CBMs, developing and using curriculum-based assessments (CBAs), and integrating diagnostic and progress monitoring data to inform instructional adaptations.
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.
This series is intended for educators at the state and local level who work with secondary students with intensive behavioral needs during virtual learning and the return to in-person.
Data teams serve multiple roles in the data-based individualization (DBI) process and across a multi-tiered system of supports (MTSS). Although schools may have multiple teams that review different types of data across a multi-tiered system of supports (MTSS), the intensive intervention or DBI team is focused on the needs of individual students who are not making progress in their current intervention or special education program. It is critical that these meetings are driven by data, occur regularly, and use an efficient, consistent process that allows participants to review progress and make intervention decisions for students. NCII has created a series of tools to help teams establish efficient and effective individual student data meetings.
This guide is a set of strategies and key practices with the ultimate goal of supporting students with the most intensive behavioral needs, their families, and educators in their transitions back to school during and following the global pandemic in a manner that prioritizes their health and safety, social and emotional needs, and behavioral and academic growth.
In this video, Dr. Devin Kearns, an Assistant Professor of Special Education in the Department of Education Psychology at the Near School of Education at the University of Connecticut and NCII Trainer & Coach, discusses considerations for progress monitoring.
This course collection provides a guide to available NCII courses for those who are newer to the DBI process or interested in learning more about how intensive intervention can support students with severe and persistent learning and/or social, emotional, or behavioral needs.
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 course collection provides a guide to available NCII courses self-paced learning courses that focus on academic progress monitoring.
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