This rubric uses descriptors of the dimensions of the Taxonomy of Intervention Intensity to support teams in selecting and evaluating validated interventions for small groups or individual students. Teams may consider using data available on the National Center on Intensive Intervention Academic Tools Chart and the publishers’ websites as well as results from previous implementation efforts. Each dimension will be rated on a scale of 0– Fails to Address Standard to 3 – Addresses Standard Well. Taxonomy of Intervention Intensity: Academic Rating Rubric   Related Resources Taxonomy of Intervention Intensity Resources

Progress monitoring is an essential part of a multi-tiered system of supports (MTSS) and, specifically, the data-based individualization (DBI) process. It allows educators and administrators to understand whether students are responding to intervention and if adaptations are needed. In addition, these data are often used to set high-quality academic and behavioral goals within the individualized education program (IEP) for students with disabilities. 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 webinar presented by Dr. Daniel Maggin, shares methods for collecting behavioral data, procedures for examining behavioral data, and discusses using behavioral progress monitoring to make programming decisions.

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.

This webinar presented by Dr. Rebecca Zumeta Edmonds, discusses various approaches to progress monitoring, focusing on the value and implications of using progress monitoring to track the growth of students with intensive academic needs. Dr. Zumeta Edmonds walks through the steps of the process for using progress monitoring data to make instructional decisions for individual students.

This webinar, presented by Laura Magnuson, a technical assistance provider for NCII, provides an overview of the rationale and purpose for secondary or Tier 2 interventions.

This webinar presented by Dr. Allison Gruner Gandhi, reviews the NCII tools chart on academic interventions, and how practitioners can use these charts to gather information about, and ultimately select, interventions that meet their needs.

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.

An effective and efficient data system is essential for successful implementation of a multi-tiered system of support (MTSS). However, prior to selecting an appropriate system, schools and districts must identify what its staff and community need and what resources the district or school has to support an MTSS data system. This two-step tool can help teams to consider both what their needs are and to evaluate available tools against those needs. Step 1 can help your team systematically identify and document your MTSS data system needs and current context and step 2 focuses on selecting and evaluating a data system for conducting screening and progress monitoring within a tiered system of support based on the identified needs and context from step 1

This synopsis, published in 2007, highlights key findings from a synthesis of research on interventions for struggling math students. Baker, Gersten, and Lee (2002) synthesized findings from 28 years of research on interventions for students struggling in learning math. Access this Resource