How can school and district leaders establish the conditions needed for educators to successfully implement data-based individualization (DBI) for students with the most intensive needs? To help put the pieces in place for the next school year, join our free webinar, Planning for Success: Building Readiness to Implement Data-Based Individualization, May 2, 2024 at 4:00 pm ET to learn how supporting the readiness of educators and establishing the necessary infrastructure for DBI are keys to success. Readiness involves identifying needs, establishing shared goals and plans for DBI, enhancing buy-in, addressing barriers, and reviewing and securing resources, among other topics. Assessing and developing readiness may save time, resources, and effort when implementing DBI. In this webinar, Dr. Zachary Weingarten, Product Development Coordinator at NCII, will highlight key recommendations to build readiness to implement DBI. Dr.
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This brief reviews provides considerations for creating readiness to implement DBI to support successful implementation and scale-up in schools.
State education agencies (SEAs) have an important role in initiating, supporting, and sustaining district- and school-level implementation of intensive intervention for students with severe and persistent learning and behavior needs. This document outlines five recommendations offered by SEA personnel who successfully led DBI capacity-building efforts in their states.
This guide is a set of strategies and key practices with the ultimate goal of supporting students with the most intensive behavioral needs, their families, and educators in their transitions back to school during and following the global pandemic in a manner that prioritizes their health and safety, social and emotional needs, and behavioral and academic growth.
The purpose of this document is to provide content-specific examples of how to structure educator-level and/or systems-level coaching as a mechanism to ensure ongoing professional learning to support tiered intervention. This document provides examples of coaching supports, models, and functions within the context of tiered intervention (e.g., RtI, PBIS, MTSS) and data-based decision making (e.g., data-based individualization [DBI]) for educators who already have foundational knowledge and/or experience with coaching.
If you are like most educators, you agree with the idea of providing intensive intervention for students with the most intractable academic and behavior problems. The question you may be asking is, how do I find the time? This guide includes strategies that educators can consider when trying to determine how to find the time for this intensification within the constraints of busy school schedules. Supplemental resources, planning questions, and example schedules are also provided.
This updated training module provides a rationale for intensive intervention and an overview of data-based individualization (DBI), NCII’s approach to providing intensive intervention. DBI is a research-based process for individualizing validated interventions through the systematic use of assessment data to determine when and how to intensify intervention. Two case studies, one academic and one behavioral, are used to illustrate the process and highlight considerations for implementation.
Monitoring Student Progress for Behavioral Interventions (DBI Professional Learning Series Module 3)
This module focuses on behavioral progress monitoring within the context of the DBI process and addresses: (a) methods available for behavioral progress monitoring, including but not limited to Direct Behavior Rating (DBR), and (b) using progress monitoring data to make decisions about behavioral interventions.
This training module, includes four sections that (a) provide an overview of administering common general outcome measures for progress monitoring in reading and mathematics, (b) review graphed progress monitoring data, and (c) provide guidance on identifying what type of skills the intervention should target to be most effective in reading and mathematics.
This is part 1 of the larger module, “Informal Academic Diagnostic Assessment: Using Data to Guide Intensive Instruction.” This part is intended to provide an overview of common general outcome measures (GOM) used for progress monitoring in reading and mathematics, with guidance on selecting an appropriate measure.