This webinar describes contextual factors that can support or impede the implementation of intensive intervention.
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DBI Process
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Implementation Guidance and Considerations
Student Population
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This updated training module provides a rationale for intensive intervention and an overview of data-based individualization (DBI), NCII’s approach to providing intensive intervention. DBI is a research-based process for individualizing validated interventions through the systematic use of assessment data to determine when and how to intensify intervention. Two case studies, one academic and one behavioral, are used to illustrate the process and highlight considerations for implementation.
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.
This series of lessons from the State Implementation and Scaling-up of Evidence-based Practices (SISEP) Center highlights a research driven approach to coaching. The series begins with an overview lesson and includes additional lessons that cover how to deliver effective and efficient prompting, performance feedback, and scaffolding and using data to identify recipients current phase of learning. A coaching practice profile is also available.
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
This webinar highlights strategies schools should consider in relationship to their implementation of social-behavioral supports across the continuum of tiers in a multi-tiered system of support framework as they return to school during COVID-19 restrictions.
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.
This 4-part self-paced course reviews an explicit instruction model and the supporting practices required for effective implementation.
This webinar models how practitioners can use data-based individualization (DBI) to develop and implement specially designed instruction (SDI) for students with disabilities.
This is part 2 of the module, “Informal Academic Diagnostic Assessment: Using Data to Guide Intensive Instruction.” This part includes examples of graphed data and is intended to provide participants with guidance for reviewing progress monitoring data to determine if the instructional plan is working or if a change is needed.