The purpose of this module is to introduce schools interested in implementing intensive intervention to the infrastructure needed to implement data-based individualization (DBI). The module includes presentation slides with integrated activities and handouts to help teams determine their readiness and develop an action plan for implementation.
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DBI Process
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Implementation Guidance and Considerations
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This brief reviews provides considerations for creating readiness to implement DBI to support successful implementation and scale-up in schools.
In this article, Dr. Carrie Thomas Beck from the Oregon Department of Education discusses the dyslexia law in Oregon, the role of intensive intervention in Oregon’s dyslexia initiative, and provides advice for states defining their dyslexia frameworks.
NCII, through a collaboration with the University of Connecticut, developed a set of course modules focused on developing educators’ skills in using explicit instruction. These course modules are designed to support faculty and professional development providers with instructing pre-service and in-service educators who are developing and/or refining their implementation of explicit instruction.
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.
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.
The Colorado Department of Education (CDE) has been working closely with NCII to align and scale up use of data-based individualization (DBI) across the state. One of the strategies CDE has used is the development of virtual learning resources and online learning modules on DBI to help make professional learning accessible to all educators. In this Voices from the Field video, Dr. Jason Harlacher and Veronica Fielder share CDE’s process for developing virtual learning modules on DBI and their strategies for ensuring the modules are accessible to educators.
This module is intended to help educators and administrators to dive deeper into the steps of the data-based individualization (DBI) process for individualizing and intensifying interventions.
NCII partnered with Project STAIR (Supporting Teaching of Algebra: Individual Readiness) to host a series of three webinars focused on implementing data-based individualization (DBI) with a focus on mathematics during COVID-19 restrictions.
English learners (ELs), as defined by the Elementary and Secondary Education Act, are individuals enrolled in school between the ages of 3 and 21 whose native language is not English. Although ELs are categorized under a single, homogeneous label, they represent a diverse population of students with wide-ranging cultural experiences, native and second-language proficiencies, and varying degrees of subject matter knowledge (Vaughn et al., 2019). Delivering intensive intervention for ELs involves consistent attention to students’ language development, culture, and academic and behavioral needs throughout the DBI process. Supporting ELs with intensive needs depends on an educator’s