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.
Search
Resource Type
DBI Process
Subject
Implementation Guidance and Considerations
Student Population
Audience
Event Type
Search
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 webinar describes how the RIOT/ICEL matrix can support problem-solving by helping teams to organize their diagnostic data, refine hypotheses, and guide decision making.
View the webinar recording from the December 14, 2023 webinar focused on how the RIOT/ICEL matrix can support problem-solving by helping teams to organize their diagnostic data, refine hypotheses, and guide decision making
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) 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.
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.