This brief offers recommendations to support educators to efficiently collect, analyze, and use diagnostic data to adapt or intensify intervention.
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DBI Process
Subject
Implementation Guidance and Considerations
Student Population
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This webinar models how practitioners can use data-based individualization (DBI) to develop and implement specially designed instruction (SDI) for students with disabilities.
The Progress Toward Outcomes report is an annual report summarizing NCII’s progress toward meeting project goals. This report reflects activities completed between October 2021-September 2022.
This webinar provides an overview of the Academic Intervention Taxonomy Briefs and describes how they can help teachers design productive intervention programs for students with intensive academic needs.
This webinar discusses strategies to help teacher education faculty integrate the principles of intensive intervention within undergraduate and graduate-level programs for aspiring and current teachers.
This webinar introduce a series of data teaming tools designed to help facilitators and participants before, during, and after their intervention meeting.
This webinar illustrates considerations for implementing data-based individualization (DBI) with English Learners that accounts for their unique academic, social, behavioral, linguistic, and cultural experiences, assets, and needs.
This webinar shared an overview of how social emotional learning (SEL) relates to intensive intervention and offer sample strategies and resources for building social and emotional competencies for students in need of intensive learning, social, emotional, or behavioral supports.
State education agencies (SEAs) have an important role in initiating, supporting, and sustaining district- and school-level implementation of intensive intervention for students with severe and persistent learning and behavior needs. This document outlines five recommendations offered by SEA personnel who successfully led DBI capacity-building efforts in their states.
This brief illustrates considerations for implementing data-based individualization (DBI) with ELs that accounts for their unique academic, social, behavioral, linguistic, and cultural experiences, assets, and needs.