This brief highlights how to use culturally and linguistically aligned strategies to support multilingual learners within an multi-tiered system of supports framework
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DBI Process
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Implementation Guidance and Considerations
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This brief reviews provides considerations for creating readiness to implement DBI to support successful implementation and scale-up in schools.
This brief offers recommendations to support educators to efficiently collect, analyze, and use diagnostic data to adapt or intensify intervention.
To support English Learners (ELs) with intensive intervention needs it is important to (a) deliver instruction that represents culturally and linguistically sustaining best practices, and (b) distinguish the needs and assets of learners to improve progress (i.e., second-language acquisition, culture, learning challenges). This brief illustrates considerations for implementing data-based individualization (DBI) with ELs that accounts for their unique academic, social, behavioral, linguistic, and cultural experiences, assets, and needs.
During fall 2020, educators provided virtual, in-person, and hybrid intervention with an ongoing need to engage with and support parents and families. Although the context and environment may have changed, the focus on providing high-quality interventions with validated practices, monitoring student progress, and adapting and intensifying supports based on student data as outlined in the data-based individualization (DBI) process continues to be applicable across virtual, in-person, or hybrid models. This document presents considerations for implementing DBI in light of COVID-19 with an emphasis on delivery in virtual settings.
This brief presents an overview of how social and emotional learning (SEL) relates to intensive intervention and offers sample strategies for skill building among students in need of intensive learning, social, emotional, and behavioral supports.
This activity was developed by Tammy Moran a special education teacher in Ferris Independent School District. In this lesson, she illustrates the use of the Understand-Plan-Solve-Evaluate (UPSE) Method. This method is a problem-solving strategy that can be used to support students struggling with word problems. The lesson can be used synchronously or asynchronously and does not require using multiple platforms. This collection includes a tip sheet, a video example, slides to facilitate the lesson, a UPSE template, and reflection questions.
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.
The purpose of this guide is to provide an overview of behavioral progress monitoring and goal setting to inform data-driven decision making within tiered support models and individualized education programs (IEPs).
The 2017 Supreme Court decision Endrew F. v. Douglas County School District highlighted the importance of monitoring students’ progress toward appropriately challenging individualized educational program (IEP) annual goals and making changes to students’ educational programs when needed. In this guide, we explain how educators can establish IEP goals that are measurable, ambitious, and appropriate in light of the student's circumstances.