In this video, Dr. Chris Riley-Tillman, a Professor at the University of Missouri and NCII Senior Advisor, discusses how evidence-based practices, instruction, and intervention change as academic and behavior needs become more severe.
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Why do we need to ensure we have multiple parallel or equated forms when measuring student progress?
In this video, Lee Branum-Martin, Associate Professor at Georgia State University explains why we need to ensure we have multiple parallel or equated forms when measuring student progress.
This module discusses consequence strategies to increase behavior. More specifically, how do you encourage more of the desired behavior? This module introduces a variety of different strategies to do this. By the end of this module you should be able to: Describe consequence strategies to increase behavior Establish a continuum of strategies to acknowledge appropriate behavior Appropriately adjust use of reinforcement
This brief offers recommendations to support educators to efficiently collect, analyze, and use diagnostic data to adapt or intensify intervention.
In this video, Sarah Powell, Assistant Professor in the Department of Special Education at the University of Texas at Austin, discusses key considerations when teaching students with math difficulty.
This module describes how to use data (Module 6) to inform decision making in the classroom. How do you know you are choosing the right interventions, and implementing with the right intensity, to influence a change in student behavior? By the end of this module you should be able to: Describe why we use data for decision making Determine if core features of classroom management practices are in place with fidelity Determine if all individuals in your classroom are achieving desired outcomes Develop an action plan to enhance or intensify support as needed
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 module is a continuation of behavioral theory from Module 1. By the end of this module, you should be able to: Define and identify elements of the four-term contingency Define and describe procedures involved with teaching: shaping, chaining, prompting, stimulus control and phases of learning