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.
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Resource Type
DBI Process
Subject
Implementation Guidance and Considerations
Student Population
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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.
This webinar describes contextual factors that can support or impede the implementation of intensive intervention.
What is an evidence-based practice? How do I know if evidence shows that a practice will be right for my students? Many practitioners ask these critical questions every day as they are faced with making decisions regarding how to best meet the needs of their students.
How do you know if an intervention, program, or practice is likely to be effective with a particular subgroup of students? What resources are there to help school, district, and State leaders identify and select evidence-based practices (EBPs)? EBPs play an increasingly prominent role in Federal education policy. In both State Systemic Improvement Plans (SSIPs) and provisions in the Every Student Succeeds Act (ESSA), States are being asked to implement practices and programs that have evidence of effectiveness.
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