NCII partnered with Project STAIR (Supporting Teaching of Algebra: Individual Readiness) to host a series of three webinars focused on implementing data-based individualization (DBI) with a focus on mathematics during COVID-19 restrictions.
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In this Voices from the Field post, we archive the presentations from day 3 of the NCII 10-year celebration of the implementation of intensive intervention. On this day, panelists shared stories focused on improving outcomes for students through DBI implementation.
The purpose of this document is to provide an overview of the Center’s accomplishments and to highlight a set of lessons learned from the 26 schools that implemented intensive intervention while receiving technical support from the Center.
The Rhode Island Department of Education (RIDE) has been partnering with NCII since 2012 to support DBI implementation within Rhode Island.
Goals are essential for making decisions regarding whether a student is demonstrating adequate progress in the intervention program or determining whether an instructional change is needed. These goals support teams in designing and implementing the progress monitoring plan aligned to the student’s intervention plan.
Research indicates that for successful implementation to occur, it is important to look at not only what is being implemented but how it is implemented. Implementing DBI often necessitates that educators make school-wide instructional adaptations, engage in systematic data analysis, and conduct individualized student-level decisions at levels that task the bandwidth of resources, staffing, and budgets of many schools. Assessing readiness from multiple stakeholders with different perspectives prior to implementation allows educators across many levels (schools, districts, and states) to prioritize areas for their initial efforts and then slowly use the momentum to build capacity toward full implementation. In this section, find training materials, lessons learned from those who have implemented DBI, and tools to assess your initial readiness and build capacity to implement intensive intervention.
NCII, through a collaboration with the University of Connecticut, developed a set of course modules focused on developing educators’ skills in using explicit instruction. These course modules are designed to support faculty and professional development providers with instructing pre-service and in-service educators who are developing and/or refining their implementation of explicit instruction.
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.
English learners (ELs), as defined by the Elementary and Secondary Education Act, are individuals enrolled in school between the ages of 3 and 21 whose native language is not English. Although ELs are categorized under a single, homogeneous label, they represent a diverse population of students with wide-ranging cultural experiences, native and second-language proficiencies, and varying degrees of subject matter knowledge (Vaughn et al., 2019). Delivering intensive intervention for ELs involves consistent attention to students’ language development, culture, and academic and behavioral needs throughout the DBI process. Supporting ELs with intensive needs depends on an educator’s
Data teams serve multiple roles in the data-based individualization (DBI) process and across a multi-tiered system of supports (MTSS). Although schools may have multiple teams that review different types of data across a multi-tiered system of supports (MTSS), the intensive intervention or DBI team is focused on the needs of individual students who are not making progress in their current intervention or special education program. It is critical that these meetings are driven by data, occur regularly, and use an efficient, consistent process that allows participants to review progress and make intervention decisions for students. NCII has created a series of tools to help teams establish efficient and effective individual student data meetings.