This four-part webinar series is focused on the Taxonomy of Intervention Intensity. This series provides an overview of the dimensions of the Taxonomy of Intervention Intensity and case applications showing how the taxonomy can be used to guide the intensification of reading, mathematics, and behavior interventions.
Implementation Guidance and Considerations
In this webinar, Drs. Joe Wehby and Joey Staubitz, demonstrate how the Taxonomy of Intervention Intensity can support educators in systematically selecting and modifying intensive behavior intervention based on student need. After providing a brief overview of the dimensions for evaluating and building intervention intensity, they will share a detailed case study illustrating how a teacher used the taxonomy to provide data-based individualized instruction in behavior.
In this overview, Meagan Walsh, M.Ed. introduces the Taxonomy of Intervention Intensity as a method for systematically selecting an intensive intervention and guide teachers through modifying the intervention based on student need. The Taxonomy of Intervention Intensity includes seven dimensions (strength, dosage, alignment, attention to transfer, comprehensiveness, behavioral or academic support, and individualization).
In this webinar, Meagan Walsh, M.Ed. demonstrates how the Taxonomy of Intervention Intensity can support educators in systematically selecting and modifying intensive literacy interventions based on student need. After providing a brief overview of the dimensions for evaluating and building intervention intensity, she shares a detailed case study illustrating how a teacher uses the taxonomy to provide data-based individualized instruction in reading comprehension.
In this webinar, held April 3, 2018, Drs. Amelia Malone and Lynn Fuchs introduce the Taxonomy of Intervention Intensity as a method for systematically selecting an intensive intervention and guide teachers through modifying the intervention based on student need.
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.
Are you confused about how to support the social-behavioral needs of your learners as you return to school this fall? How can you ensure that all students, including those with intensive needs, have access to instruction regardless of virtual, in-person, or hybrid learning? In this webinar, Dr. Teri Marx and Stacy Hirt from the National Center on Intensive Intervention and Dr. Leanne Hawken, Professor Emeritus in the Department of Special Education at the University of Utah, highlight 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.
In this webinar, Dr. Sarah Powell an Associate Professor in the Department of Special Education at the University of Texas at Austin highlights freely available tools and resources that can help educators consider a scope and sequence for math skills, assessment and intervention practices, instructional delivery, concepts and procedures for whole and rational numbers, intensification considerations, and more. The webinar reviews the content available from the Intensive Intervention Math Course Content. The course content consists of eight modules covering a range of math related topics. Each module includes video lessons, activities, knowledge checks, practice-based opportunities, coaching materials and other resources.
This webinar, led by Dr. Julie Esparza Brown, Dr. Amanda Sanford, and Erin Lolich focused on improving educational outcomes for ELLs through culturally and linguistically responsive implementation of an RTI framework in the area of elementary reading. Specifically, it discussed critical considerations to appropriately utilize screening and progress monitoring data with ELL students to improve reading outcomes by addressing the factors that influence ELL students' academic success. Recommendations were provided for the appropriate selection and use of screening and progress monitoring data based on students' unique backgrounds and needs. A case study was provided to illustrate these recommendations with a first grade ELL student.
In this webinar, Dr. Kristen McMaster provides an overview of Curriculum-Based Measurement (CBM) and discusses how CBM data can be used at the secondary level to monitor student progress. She discusses the purpose of CBM, provides a brief description of the research, and demonstrates how CBM data can be used to monitor student progress. She reviews CBM tools that are available for high schools in reading, mathematics, and the content areas, and provides instructions for developing CBM tools for use at the high school level. Following Dr. McMaster's presentation, representatives from Walla Walla High School in Walla Walla, Washington discuss how they have monitored school progress as part of their tiered intervention model.