In this video, Dr. Catherine Bradshaw, Deputy Director of the John Hopkins Center for the Prevention of Youth Violence and Co-Director of the John Hopkins Center for Prevention and Early Intervention, discusses PBIS, who it works for, and under what conditions it works best.
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In this video, Dr. Catherine Bradshaw, Associate Dean for Research for the Curry School of Education at the University of Virginia, Deputy Director of the Johns Hopkins Center for Prevention of Youth Violence, and Co-Director of the Johns Hopkins Center for Prevention and Early Intervention, discusses how PBIS can be combined with other programs, such as social-emotional learning curriculum, to support students.
In this video, Mike Jacobsen, Assessment and Curriculum Director, White River School District in Washington State discusses how their districts planned for and implemented intensive intervention within the districts RTI model.
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 fourteen minute video shares Wyoming’s journey in building the capacity of educators to implement data-based individualization (DBI) to improve academic and behavior outcomes for students with disabilities as part of their state systemic improvement plan (SSIP). Wyoming administrators, teachers, parents and students from Laramie County School District # 1 and preschool sites share how DBI implementation impacted teacher efficacy, team meetings, quality of services, student confidence, and state and local collaboration.
The purpose of this document is to provide an overview of the Center’s accomplishments and to highlight a set of lessons learned from the 26 schools that implemented intensive intervention while receiving technical support from the Center.
This module describes how to use data (Module 6) to inform decision making in the classroom. How do you know you are choosing the right interventions, and implementing with the right intensity, to influence a change in student behavior? By the end of this module you should be able to: Describe why we use data for decision making Determine if core features of classroom management practices are in place with fidelity Determine if all individuals in your classroom are achieving desired outcomes Develop an action plan to enhance or intensify support as needed
This tool is designed to help educators collect and graph academic progress monitoring data across multiple measures as a part of the data-based individualization (DBI) process. This tool allows educators to store data for multiple students (across multiple measures), graph student progress, and set individualized goals for a student on specific measures.
Research indicates that for successful implementation to occur, it is important to look at not only what is being implemented but how it is implemented. Implementing DBI often necessitates that educators make school-wide instructional adaptations, engage in systematic data analysis, and conduct individualized student-level decisions at levels that task the bandwidth of resources, staffing, and budgets of many schools. Assessing readiness from multiple stakeholders with different perspectives prior to implementation allows educators across many levels (schools, districts, and states) to prioritize areas for their initial efforts and then slowly use the momentum to build capacity toward full implementation. In this section, find training materials, lessons learned from those who have implemented DBI, and tools to assess your initial readiness and build capacity to implement intensive intervention.
Data teams serve multiple roles in the data-based individualization (DBI) process and across a multi-tiered system of supports (MTSS). Although schools may have multiple teams that review different types of data across a multi-tiered system of supports (MTSS), the intensive intervention or DBI team is focused on the needs of individual students who are not making progress in their current intervention or special education program. It is critical that these meetings are driven by data, occur regularly, and use an efficient, consistent process that allows participants to review progress and make intervention decisions for students. NCII has created a series of tools to help teams establish efficient and effective individual student data meetings.