How can data-based individualization (DBI) help educators to address the growing expectations for literacy outcomes for students with intellectual and developmental disabilities? In this webinar, Dr. Chris Lemons an NCII Advisor, Associate Professor of Special Education in the Graduate School of Education at Stanford University, and Co-Director of the Stanford Down Syndrome Research Center, provides an overview of activities conducted through an Office of Special Education Programs model demonstration project. This project focused on increased literacy outcomes using DBI, inclusion, and enhancing individualized education programs. The webinar shares project findings and provides recommendations for integrating those findings into professional development and practice to improve student outcomes.
Search
Resource Type
DBI Process
Subject
Implementation Guidance and Considerations
Student Population
Audience
Event Type
Search
Using DBI to Improve Literacy Outcomes for Students with Intellectual and Developmental Disabilities
How can data-based individualization (DBI) help educators to address the growing expectations for literacy outcomes for students with intellectual and developmental disabilities? In this webinar, Dr. Chris Lemons an NCII Advisor, Associate Professor of Special Education in the Graduate School of Education at Stanford University, and Co-Director of the Stanford Down Syndrome Research Center, will provide an overview of activities conducted through an Office of Special Education Programs model demonstration project. This project focused on increased literacy outcomes using DBI, inclusion, and enhancing individualized education programs. The webinar will share project findings and provide recommendations for integrating those findings into professional development and practice to improve student outcomes.
Getting along with others, paying attention, following directions, making responsible decisions, and managing emotions are challenges for many students who require intensive intervention, and may be linked to difficulties with executive functioning, communication, behavior, and academic learning. In this webinar, presenters Mara Schanfield and Zach Weingarten shared an overview of how social emotional learning (SEL) relates to intensive intervention and offer sample strategies and resources for building social and emotional competencies for students in need of intensive learning, social, emotional, or behavioral supports.
Data-based individualization (DBI) is a research-based process for individualizing and intensifying interventions through the systematic use of assessment data, validated interventions, and research-based adaptation strategies. This document introduces and describes the DBI process and how it can be used to support students who require intensive intervention in academics and/or behavior.
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.
This guide provides information critical to developing and implementing an effective school-level intervention program. It is designed to suggest some guiding principles along with examples of how these principles can be operationalized to develop an effective school-level system for meeting the instruction needs of all students.