This webinar reviews keys recommendations and lessons learned to help school and district leaders establish the conditions needed for educators to successfully implement data-based individualization (DBI) for students with the most intensive needs
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DBI Process
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Implementation Guidance and Considerations
Student Population
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Recording available for Planning for Success: Building Readiness to Implement Data-Based Individualization webinar.
This brief reviews provides considerations for creating readiness to implement DBI to support successful implementation and scale-up in schools.
In this webinar, experts from the PROGRESS Center and National Center on Intensive Intervention (NCII) model how practitioners can use data-based individualization (DBI) to develop and implement SDI for students with disabilities and a panel of special educators share how using DBI improved the efficiency and effectiveness of their service delivery, communication with families, and collaboration with other educators.
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 handout briefly defines the seven dimensions of the Taxonomy of Intervention Intensity for academics and behavior. The Taxonomy of Intervention Intensity was developed based on research to support educators in evaluating and building intervention intensity. The seven dimensions include strength, dosage, alignment, attention to transfer, comprehensiveness, behavior or academic support, and individualization.
Within a multi-tiered system of supports (MTSS), intensive intervention, also known as Tier 3, is designed to support students with the most severe and persistent learning and/or behavior difficulties. This document highlights some common misconceptions about intensive academic and behavior interventions that experts from the Center on Positive Behavioral Interventions and Supports and NCII have observed in supporting the implementation of intensive intervention within the context of MTSS.
The pandemic has disrupted and, in many cases hindered, learning for all students – most particularly for our most vulnerable populations. Data literacy is key to understanding and tailoring instructional decisions to address students’ varying needs. In this webinar panelists discuss strategies and frameworks to ensure educators are data literate and understand how data literacy can help districts and schools address learning opportunity gaps.
At-home learning requires increased independence for students. With no bells signaling the beginning or end of class and no teacher leading the class for each subject, students must follow a virtual schedule. Within these schedules, students are responsible for accessing the appropriate links to class sessions and work activities. In addition, students often must populate usernames and passwords—most of which are unique for each different site or task.
During fall 2020, educators provided virtual, in-person, and hybrid intervention with an ongoing need to engage with and support parents and families. Although the context and environment may have changed, the focus on providing high-quality interventions with validated practices, monitoring student progress, and adapting and intensifying supports based on student data as outlined in the data-based individualization (DBI) process continues to be applicable across virtual, in-person, or hybrid models. This document presents considerations for implementing DBI in light of COVID-19 with an emphasis on delivery in virtual settings.