This rubric uses descriptors of the dimensions of the Taxonomy of Intervention Intensity to support teams in selecting and evaluating validated interventions for small groups or individual students. Teams may consider using data available on the National Center on Intensive Intervention Academic Tools Chart and the publishers’ websites as well as results from previous implementation efforts. Each dimension will be rated on a scale of 0– Fails to Address Standard to 3 – Addresses Standard Well. Taxonomy of Intervention Intensity: Academic Rating Rubric Related Resources Taxonomy of Intervention Intensity Resources
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Using multiple data sources, the teacher or team makes a decision to adapt the intervention program to better meet the student’s individual needs. The teacher or team outlines these adaptations in an individual student plan. The plan may include adaptation strategies along several dimensions. These strategies may include quantitative changes, such as providing more opportunities for a student to respond by increasing the length or frequency of the intervention, or decreasing the size of the intervention group.
This video from the REL Midwest features Michigan educators discussing how districts can accelerate reading growth for young learners. Educators and leaders from Chippewa Hills School District, specifically discuss the use of data-based individualization (DBI).
This webinar introduce a series of data teaming tools designed to help facilitators and participants before, during, and after their intervention meeting.
The purpose of this document is to increase the capacity of practitioners and educational leaders to support a broad range of learners who need more literacy supports to become skilled readers and writers by identifying a set of essential practices that are research-supported and should be the focus of professional development. These practices for intensifying literacy instruction apply to those learners with severe and persistent reading and writing challenges who have not responded when provided with instruction aligned with state academic standards, regardless of disability status.
On May 8, 2019, Drs. Mitch Yell, David Bateman, Tessie Bailey and Teri Marx presented Recommendations and Resources for Preparing Educators in the Endrew Era. In this webinar, Drs. Yell and Bateman draw on their recent article Free Appropriate Public Education and Endrew F. v. Douglas County School System (2017): Implications for Personnel Preparation in Teacher Education and Special Education. They provide an overview of Endrew’s impact on individualized instruction for students with disabilities and share six recommendations for preparing educators to meet the clarified requirements under Endrew. Drs. Tessie Bailey and Teri Marx, experts from the National Center on Intensive Intervention, illustrate how NCII resources and technical assistance supports can assist states, local agencies, and educators to address these recommendations and improve design and delivery of individualized instruction in academics and behavior.
This resource is a companion to NCII’s Clarifying Questions to Create a Hypothesis to Guide Intervention Changes: Question Bank and provides additional questions for teams to consider for students who are English learners.
This series includes video examples and tip sheets to help educators and families in using the NCII reading and mathematics sample lessons to support students with intensive needs. These lessons provide short instructional routines to encourage multiple practice opportunities using explicit instruction principles. The videos and tip sheets describe how educators can use the sample lessons to support instruction in a virtual setting, how educators can share these lessons with parents, and how parents can also implement the lessons to provide additional practice opportunities.
This two page handout defines the Taxonomy of Intervention Intensity through guiding questions and highlights when the Taxonomy of Intervention Intensity can be used within the data-based individualization (DBI) process. Teams can use the dimensions to evaluate a current intervention, select a new intervention and intensify interventions when students do not respond.
Data-based individualization (DBI) is a research-based process for individualizing and intensifying interventions through the systematic use of assessment data, validated interventions, and research-based adaptation strategies. The DBI process includes five iterative steps: