In this webinar, Dr. Kristen McMaster provides an overview of Curriculum-Based Measurement (CBM) and discusses how CBM data can be used at the secondary level to monitor student progress. She discusses the purpose of CBM, provides a brief description of the research, and demonstrates how CBM data can be used to monitor student progress. She reviews CBM tools that are available for high schools in reading, mathematics, and the content areas, and provides instructions for developing CBM tools for use at the high school level. Following Dr. McMaster's presentation, representatives from Walla Walla High School in Walla Walla, Washington discuss how they have monitored school progress as part of their tiered intervention model.
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DBI Process
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This lesson features Carla Jo Whatley, a First Grade Teacher at Ferris Intermediate in Ferris ISD in Texas. In the lesson she illustrates how to use virtual manipulatives within a math lesson. These manipulatives allow educators and students to engage in the Concrete-Representational-Abstract approach without having the physical materials in front of them. For some educators, switching between platforms has been challenging. This lesson can be used synchronously or asynchronously, does not require using multiple platforms, and allows educators to apply the features of interactive base ten blocks. The collection includes a tip sheet, two video examples, and slides with virtual base ten block practice examples.
This webinar presents a data-based decision-making framework to individualize instruction for students with intensive needs in writing.
This module discusses approaches to intensifying academic interventions for students with severe and persistent learning needs. The module describes how intensification fits into DBI process and introduces four categories of intensification practices. It uses examples to illustrate concepts and provides activities to support development of teams’ understanding of these practices, and how they might be used to design effective individualized programs for students with intensive needs.
This training module demonstrates how academic progress monitoring fits into the Data-Based Individualization (DBI) process by (a) providing approaches and tools for academic progress monitoring and (b) showing how to use progress monitoring data to set ambitious goals, make instructional decisions, and plan programs for individual students with intensive needs.
This module is designed for interventionists, special educators, and general educators to review instructional strategies that students with mathematics difficulties need to be successful in both core instruction and intervention. Students with mathematics difficulties may make progress in intervention but still struggle in core because there is often not a bridge or support to show how the intervention connects to core. This module addresses these needs and identifies how all teachers need to support generalization and build upon mathematics trajectories for students to be successful.
The purpose of this training is to gain foundational knowledge of how all behavior serves a purpose or function. This foundational knowledge is core to understanding behavior, supporting students with challenging behavior, and diagnosing the function of behavior and developing effective behavioral interventions. This module introduces function of behavior and provides suggestions for how you can use this understanding within the context of a data-based individualization (DBI) process. While this module briefly mentions the role of a Functional Behavioral Assessment (FBA), this is not the focus of this module.
In this webinar panelists discuss strategies and frameworks to ensure educators are data literate and understand how data literacy can help districts and schools address learning opportunity gaps.
This lesson includes a tip sheet and a video tutorial that demonstrates how to create and implement the 5-point scale in a virtual setting.
This lesson illustrates the use of Elkonin boxes in a virtual setting and includes three variations.