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
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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 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 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
Intensive Intervention in Reading Course: Module 4 Overview This module provides an overview of data-based individualization (DBI), including using CBM measures, how to present level of performance and set student goals, and use data to make instructional decisions. This module is divided into five parts with an introduction and closing. 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.
This module provides an overview of diagnostic assessments, using error analysis with CBMs, developing and using curriculum-based assessments (CBAs), and integrating diagnostic and progress monitoring data to inform instructional adaptations.
Using DBI to Improve Literacy Outcomes for Students with Intellectual and Developmental Disabilities
This webinar provides an overview of a project focused on increasing literacy outcomes using DBI, inclusion, and enhancing individualized education programs.