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.
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DBI Process
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Implementation Guidance and Considerations
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This training module introduces the Taxonomy of Intervention Intensity and describes how it supports the DBI process by helping provide explicit guidance on how to select and evaluate validated behavior intervention programs to best meet students’ needs and intensify or adapt those interventions when students or groups of students do not adequately respond.
This lesson includes a tip sheet and a video tutorial that demonstrates how to create and implement the 5-point scale in a virtual setting.
This training module introduces the Taxonomy of Intervention Intensity and describes how it supports the DBI process by helping provide explicit guidance on how to select and evaluate validated reading intervention programs to best meet students’ needs and intensify or adapt those interventions when students or groups of students do not adequately respond.
This training module introduces the Taxonomy of Intervention Intensity and describes how it supports the DBI process by helping provide explicit guidance on how to select and evaluate validated mathematics intervention programs to best meet students’ needs and intensify or adapt those interventions when students or groups of students do not adequately respond.
This resource developed by Sarah Thorud, Elementary Reading Specialist from Clatskanie School District in Oregon focuses on implementing screening and progress monitoring virtually. It includes guiding questions and considerations for implementation, video examples, and a sample sign-up sheet for screening and progress monitoring students virtually.
This unit of study includes a tip sheet, slides with activities, and supplemental materials that are associated with finding the area of various polygons, the area of circles, and the relationship between the area formulas, as well as a final activity exploring the area of a parallelogram and the area of a circle. This presentation is not intended to be used in one virtual session but as guidance for a unit of study related to the area of polygons. This unit was created by Robert Stroud from Westerly Public Schools in Rhode Island to support making the connections between various polygons and their areas rather than just providing formulas to compute.
This lesson, featuring Karen McWilliams, a 504 Coordinator and Dyslexia Teacher in Rochelle ISD in Texas, supports educators in using technology to teach foundational reading skills to students in elementary grades. During this virtual literacy lesson, students engage in a variety of facilitated activities to support phonemic awareness, phoneme–grapheme correspondence, irregular and high-frequency words, writing, and connected text. Educators may present this lesson to students one-on-one or in a small group. The templates were adapted from content developed by the University of Florida Literacy Institute to support educators implementing virtual instruction. The collection includes a tip sheet, a video examples, and slides illustrating the lesson.
This lesson features Carla Jo Whatley, a First Grade Teacher at Ferris Intermediate in Ferris ISD in Texas. In the lesson she illustrates how to use virtual manipulatives within a math lesson. These manipulatives allow educators and students to engage in the Concrete-Representational-Abstract approach without having the physical materials in front of them. For some educators, switching between platforms has been challenging. This lesson can be used synchronously or asynchronously, does not require using multiple platforms, and allows educators to apply the features of interactive base ten blocks. The collection includes a tip sheet, two video examples, and slides with virtual base ten block practice examples.
Successful implementation of a multi-tiered system of supports (MTSS) and, specifically, intensive intervention through the data-based individualization (DBI) process, demands the collection and analysis of data. As teams consider data collection, challenges may occur with assessment administration, scoring, and data entry (Taylor, 2009). This resource reviews three data collection and entry challenges and strategies to ensure data about risk status and responsiveness accurately represent student performance and minimize measurement errors.