The 2020 MTSS Institute: The Power of Us! presents.....Data Based Individualization Work Shops.   Please note: Data Based Individualization (DBI) is the Texas Education Agency's identified best practice of Intensive Intervention (Tier 3) for both academic and behavior supports and services.

Do you feel overwhelmed with trying to determine whether a student's intervention is working or is even the right one for the student? Frustrated with all the layers needed to implement an intervention plan with fidelity?  

Join Dr. Sarah Benz from the National Center on Intensive Intervention as she walks participants through not only what Data Based Individualization (DBI) is, but how it works within the Taxonomy of Intervention Intensity. 

The Taxonomy of Intervention Intensity (Fuchs, Fuchs, & Malone, 2017) includes the following dimensions:

• Strength: the evidence of effectiveness for students with intensive needs;
• Dosage: the number of opportunities the student has to respond and receive feedback from the teacher;
• Alignment: how well the intervention matches the targeted academic skills or behaviors of concern, as well as incorporates grade-appropriate standards or behaviors we would expect for a particular context;
• Attention to transfer: whether the intervention is explicitly designed to help students make connections between the skills taught in the intervention and skills learned in other contexts and environments;
• Comprehensiveness: how well the intervention incorporates a comprehensive array of explicit instruction principles; and
• Behavioral or academic support: whether an academic intervention incorporates behavioral strategies that may support students with self-regulation, motivation, or externalizing behaviors that may impact their ability to learn, or whether a behavioral intervention considers academic components as part of the intervention. 
• Individualization, focuses on the ongoing use of progress monitoring data and other diagnostic data sources to intensify and individualize the intervention based on student need. This approach mirrors the remaining steps of the DBI process that consist of data collection and modification in an iterative process until improvement is seen.