This three-part course provides a guide to available NCII self-paced learning courses that focus on academic progress monitoring. The collection begins with an overview of progress monitoring and the role of progress monitoring within the DBI process. The second module focuses defining two types of academic progress monitoring measures (general outcome measures and mastery measures) and considerations for identifying a target behavior and selecting a valid and reliable academic progress monitoring tool. The final module focuses on how you collect, graph, and make decisions based on academic progress monitoring data. While it is possible to take the courses individually or in a different order, this collection provides a suggested order for engaging in learning about academic progress monitoring.
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This course collection provides a guide to available NCII courses for those who are newer to the DBI process or interested in learning more about how intensive intervention can support students with severe and persistent learning and/or social, emotional, or behavioral needs.
In this Voices from the Field post, Emma Shanahan reflects on her experiences with progress monitoring and data-based decision making as a teacher and shares findings from her recent research on DBI professional development.
This brief highlights how to use culturally and linguistically aligned strategies to support multilingual learners within an multi-tiered system of supports framework
This document addresses five guiding questions for educators to consider when reviewing and interpreting assessment data for English Learners and includes links to selected resources.
This online course helps educators learn how to set goals, collect data, and make decisions using academic progress monitoring data.
In this webinar, experts from the PROGRESS Center and National Center on Intensive Intervention (NCII) model how practitioners can use data-based individualization (DBI) to develop and implement SDI for students with disabilities and a panel of special educators share how using DBI improved the efficiency and effectiveness of their service delivery, communication with families, and collaboration with other educators.
In this webinar, experts from the PROGRESS Center and National Center on Intensive Intervention (NCII) will model how practitioners can use data-based individualization (DBI) to develop and implement SDI for students with disabilities. A panel of special educators will share how using DBI improved the efficiency and effectiveness of their service delivery, communication with families, and collaboration with other educators.
This course is the second in a series on progress monitoring. This module describes two types of academic progress monitoring measures and considerations for selecting an academic progress monitoring tool.
In this webinar, NCII’s Caitlyn Majeika and Aleksis Kincaid provide an overview of the Academic Intervention Taxonomy Briefs and describe how they can help teachers design productive intervention programs for students with intensive academic needs. Presenters share how educators can use information from the briefs to understand the strengths and weaknesses of an intervention based on the dimensions of the Taxonomy of Intervention Intensity; evaluate the appropriateness of interventions on the academic intervention tools chart; and guide decisions about the selection or purchase of a new intervention. In addition, Kim St. Martin, Director of MiMTSS, shares how Michigan schools and MiMTSS staff have used the briefs to review academic interventions.