This module focuses on intervention programs in reading, including how they support students and teachers and how to evaluate intervention program materials and research evidence.
Error message
The page you requested does not exist. For your convenience, a search was performed using the words in the page you tried to access.
Search
Resource Type
DBI Process
Subject
Implementation Guidance and Considerations
Student Population
Audience
Search
In this Voices from the Field video, Jill Pentimoni, Ph.D. from NCII and the University of Notre Dame and Jade Wexler, Ph.D. from the University of Maryland discuss how they used the tools charts in a graduate class to help prepare and inform students about the technical criteria used to review tools on the academic intervention tools chart. Dr. Wexler also shares how she has used the charts within undergraduate courses.
In this video, Amy McKenna, a special educator in Bristol Warren Regional School District shares her experience with data-based individualization (DBI). Amy discusses how she learned about DBI, the impact her use of the DBI process had on students she worked with, and how DBI helped changed her practice as a special educator.
This webinar presents a data-based decision-making framework to individualize instruction for students with intensive needs in writing.
In this article, Dr. Jennifer Ledford shares information about single-case design research and how it relates to intensive intervention as well as resources from the Council for Exceptional Children Division for Research (CEC DR).
In this video, Ralph P. Ferretti, Professor of Education and Psychological & Brain Sciences at the University of Delaware explain why it is important to consider both the study quality and the study results when determining the evidence base of an intervention.
This training module demonstrates how academic progress monitoring fits into the Data-Based Individualization (DBI) process by (a) providing approaches and tools for academic progress monitoring and (b) showing how to use progress monitoring data to set ambitious goals, make instructional decisions, and plan programs for individual students with intensive needs.
This module is designed for interventionists, special educators, and general educators to review instructional strategies that students with mathematics difficulties need to be successful in both core instruction and intervention. Students with mathematics difficulties may make progress in intervention but still struggle in core because there is often not a bridge or support to show how the intervention connects to core. This module addresses these needs and identifies how all teachers need to support generalization and build upon mathematics trajectories for students to be successful.
An effective and efficient data system is essential for successful implementation of a multi-tiered system of support (MTSS). However, prior to selecting an appropriate system, schools and districts must identify what its staff and community need and what resources the district or school has to support an MTSS data system. This two-step tool can help teams to consider both what their needs are and to evaluate available tools against those needs. Step 1 can help your team systematically identify and document your MTSS data system needs and current context and step 2 focuses on selecting and evaluating a data system for conducting screening and progress monitoring within a tiered system of support based on the identified needs and context from step 1
With the closure of schools due to the COVID-19 pandemic, educators and administrators need to rethink how they collect and analyze progress monitoring data in a virtual setting. This collection of frequently asked questions is intended to provide a starting place for consideration.