This module was adapted from a series of training modules developed by the National Center on Intensive Intervention (NCII) and is aimed at district or school teams involved in the initial planning for using data-based individualization (DBI) as a framework for providing intensive intervention in academics and behavior. The audience for this module may include school teams supporting academic intervention and progress monitoring in middle school mathematics.
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DBI Process
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Implementation Guidance and Considerations
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This module is focused on the foundational skills of basic facts and computations across elementary grade levels. This module reviews the math trajectories that lead to long-term success and mastery of facts. Mastery of facts will lead to deeper understanding of facts in order to complete multi-step computations.
This training module demonstrates how academic progress monitoring fits into the Data-Based Individualization (DBI) process by (a) providing approaches and tools for academic progress monitoring and (b) showing how to use progress monitoring data to set ambitious goals, make instructional decisions, and plan programs for individual students with intensive needs.
The purpose of this module is to review how to implement the Early Numeracy Intervention, a validated intervention program that can be used for Tier 2 math intervention, or as an intensive intervention platform within DBI.
This training module, Using the Taxonomy of Intervention Intensity to Select, Design, and Intensify Intervention, 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 intervention programs to best meet students’ needs and intensify or adapt those interventions when students or groups of students do not adequately respond. At the end of the training participants will be able to: