Iowa BEST: Behavioral, Equitable, Social-Emotional, Trauma-Informed Health in Sc

Data-based individualization (DBI) has demonstrated success when implemented by educators with students with severe and persistent academic and/or behavioral needs and is a systematic, validated method for using assessment data to determine when and how to intensify intervention. Unfortunately schools often note that they struggle to intensify supports and as a result may benefit from a structure to help them organize their planning. This session will focus on how, within DBI, educators can an adaptive framework taxonomy to systematically intensify supports both quantitatively and qualitatively across academic and behavioral domains. We will review dimensions of the taxonomy and use a case study to illustrate how it can be used increase the quality of intensive intervention, improve student outcomes, and help schools design intensive intervention programs that are clearly distinguishable from less intensive (Tier 2) intervention programs.