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
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This module focuses on behavioral theory and is an introduction to observing and measuring behavior. By the end of this module, you should be able to: Describe the rationale and importance of behavior support Define and identify elements of basic behavioral theory including three-term contingency, reinforcement, punishment and extinction Define and describe the function of behavior
All behavior serves a purpose or function—typically to access or avoid something. Thus, it is important to figure out the function of a student’s behavior to develop a plan with likelihood for success. To help determine function, school teams should start by collecting data on the A, B, Cs of behavior: Antecedent (A): anything that happens immediately before the behavior occurs Behavior (B): the action a student demonstrates that can be clearly defined and measured Consequence (C): any event (positive or negative) that occurs after a student demonstrates a behavior Once the function is determined, strategies or interventions can be put into place.
This module is intended to help educators and administrators understand the dimensions of the Taxonomy of Intervention Intensity and how it can be used to select, evaluate, and intensify interventions.
This is part 1 of the larger module, “Informal Academic Diagnostic Assessment: Using Data to Guide Intensive Instruction.” This part is intended to provide an overview of common general outcome measures (GOM) used for progress monitoring in reading and mathematics, with guidance on selecting an appropriate measure.
NCII, through a collaboration with the University of Connecticut, developed a set of course content focused on developing educators’ skills in designing and delivering intensive reading instruction. This content is 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 intensive reading intervention.
In this video, Sandra Chafouleas, Professor of Educational Psychology in the Neag School of Education at the University of Connecticut, discusses the importance of progress monitoring in behavior and how it differs from screening and diagnostic assessment.
This webinar shares an evidence-based framework for providing effective writing instruction including a variety of techniques that teachers can use today to improve their students’ writing.
In this video, Dr. Chris Riley-Tillman, a Professor at the University of Missouri and NCII Senior Advisor, discusses the important considerations when selecting behavioral progress monitoring tools.
Intensive Intervention in Reading Course: Module 6 Overview This module provides strategies on how to adapt word reading instruction to improve instructional modeling, student practice, and approaches to giving feedback. This module is divided into three parts with an introduction. A 508 compliant version of the full PowerPoint presentation across all parts of the module, a version of the PowerPoint that includes all the animations, and a workbook is available below.