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.
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This module identifies Tier II and Tier III interventions for students at risk and high risk for behavioral challenges. By the end of this module you should be able to: Describe the decision-making process to indicate Tier II is appropriate Identify critical features of Tier II Discuss how to modify Tier II interventions to meet the needs of more students Highlight critical elements of a Functional Behavior Assessment (FBA) Choose a desired and replacement behavior Complete a Competing Pathway Model Begin to identify strategies to make the problem behavior irrelevant, inefficient, and ineffective
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
This module discusses how to define, measure and monitor behavior. By the end of the module you should be able to: Select an appropriate target behavior Write an operational definition for a target behavior Identify relevant dimensions of behavior Choose a measurement system based on relevant dimensions of behavior Use graphing conventions to create meaningful visual displays of data
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 module discusses consequence strategies to decrease behavior. By the end of the module you should be able to: Describe consequence strategies to decrease behavior Establish a continuum of strategies to respond to inappropriate behavior
This module applies behavioral theory to strategy to use in the classroom. The focus is on antecedents and instructional strategies. This module should be viewed once the basic behavioral terms have been learned. By the end of this module you should be able to: Maximize structure in the classroom Post, teach, prompt, review, monitor and reinforce a small number of positively stated expectations Actively engage students in observable ways
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
The Academic Intervention Taxonomy Briefs provide educators with information they can use to evaluate the appropriateness of academic interventions available on the academic intervention tools chart for a specific student or group of students who require intervention. The information included in the briefs is organized along the seven dimensions of the Taxonomy of Intervention Intensity
This course is the first in a series focused on progress monitoring. This module introduces progress monitoring and role progress monitoring plays in the DBI process.