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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Although instructional and intervention practices that work for monolingual students often benefit English learners (ELs), there are additional considerations when assessing, instructing, or providing intervention to ELs that account for the nature of English acquisition. The National Center on Intensive Intervention (NCII) and the National Center for Systemic Improvement (NCSI) have compiled freely-available resources to support educators and educational organizations serving ELs. This list includes resources related to instruction, multitiered system of supports, special education, implementation supports, and partnering with families.
This collection highlights a sampling of articles focused on intensive intervention and data-based individualization (DBI). Although there is a wealth of research on key components of the DBI process (e.g., progress monitoring, validated intervention programs), this list is not intended to include articles that focus on specific steps in the DBI process, nor is it an exhaustive review of all available literature. In the list below, we highlight seminal research on DBI and articles published since 2011, when NCII was first funded.
The purpose of this implementation guide from the National Center for Systemic Improvement is to help practitioners systematically implement effective coaching practices. This guide outlines key questions to consider when using coaching as a pathway toward improving teaching and learning. Further, the guide specifies actions that should be taken to appropriately structure the system in which coaching occurs. Consideration of these questions and completion of these actions may help coaching achieve its intended goals and become a sustainable component of the learning environment.
Successful implementation of a multi-tiered system of supports (MTSS) and, specifically, intensive intervention through the data-based individualization (DBI) process, demands the collection and analysis of data. As teams consider data collection, challenges may occur with assessment administration, scoring, and data entry (Taylor, 2009). This resource reviews three data collection and entry challenges and strategies to ensure data about risk status and responsiveness accurately represent student performance and minimize measurement errors.
These resources were created by Patricia Maxwell from Coventry Public Schools in Rhode Island to help with virtual mathematics instruction and intervention. The long-term goal is for students to fluently and automatically know addition facts. Manipulatives, including fingers, help students to be accurate, which is a precursor of fluency and automaticity. To meet this goal, students use manipulatives and learn strategies on how to put together numbers, which improves their “number sense.” The handouts below cover the use of ten frames, number lines, and rekenreks. Example videos are linked in the resource.
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.
This lesson includes a tip sheet and a video tutorial that demonstrates how to create and implement the 5-point scale in a virtual setting.
This tip sheet and example schedules were developed to support virtual learning.
This lesson illustrates the use of Elkonin boxes in a virtual setting and includes three variations.