In this video, Dr. Joe Wehby, Senior Advisor to the National Center for Intensive Intervention and Associate Professor in the Vanderbilt University Department of Special Education, discusses the number of data points needed to make decisions for students with intensive behavior needs.
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DBI Process
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Implementation Guidance and Considerations
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In this video, Rob Horner, Professor of Special Education at the University of Oregon and co-Director of OSEP Technical Assistance Center on PBIS and the OSEP Research and Demonstration Center on School-wide Behavior Support, discusses how data systems can be used within the context of intensive intervention.
In this video, Lucille Eber, E.D.., Statewide Coordinator of Illinois’ Emotional and Behavioral Disabilities (EBD) Network, discusses how behavioral support staff can assist and collaborate with general education teachers to support students with intensive behavioral needs.
This webinar discusses the integrated relationship between academics and behavior, reviews a case study example using DBI to provide individualized integrated academic and behavioral support based on student need, and shares behavioral strategies.
In this video, Dr. Joe Wehby, Senior Advisor to the National Center for Intensive Intervention and Associate Professor in the Vanderbilt University Department of Special Education, addresses this question around research on intensive behavioral interventions.
This presentation provides an overview of the Direct Behavior Rating (DBR). DBR is a method for collecting data on student behavior that merges a rating scale approach and direct observation. The presentation describes: (a) considerations before using the DBR, (b) completing the DBR and (c) using the DBR to monitor progress and evaluate behavior.
All behavior serves a purpose or function—typically to access or avoid something. Thus, it is important to figure out the function of a student’s behavior to develop a plan with likelihood for success. To help determine function, school teams should start by collecting data on the A, B, Cs of behavior: Antecedent (A): anything that happens immediately before the behavior occurs Behavior (B): the action a student demonstrates that can be clearly defined and measured Consequence (C): any event (positive or negative) that occurs after a student demonstrates a behavior Once the function is determined, strategies or interventions can be put into place.
This IRIS Star Legacy Module explores the basic principles of behavior and the importance of discovering the reasons that students engage in problem behavior. The steps to conducting a functional behavioral assessment (FBA) and developing a behavior plan are described.
The Taxonomy of Intervention Intensity (Fuchs, Fuchs, & Malone, 2017) can be used to select or evaluate an intervention platform used as the validated intervention platform or the foundation of the DBI process. It can also be used to guide the adaptation of intensification of an intervention during the intervention adaptation step of the DBI process. The Taxonomy includes the following dimensions:
Diagnostic tools provide data to assist educators in designing individualized instruction and intensifying intervention for students who do not respond to validated intervention programs. Diagnostic tools can be either informal, which are easy-to-use tools that can be administered with little training, or standardized, which must be delivered in a standard way by trained staff. Teams may find it helpful to initially consider using more informal and easily accessible diagnostic tools and data to avoid loss of instructional time. Standardized diagnostic tools, which require more time to administer and interpret, may be required for students who continually demonstrate a lack of response or who require special education.