Early warning systems data can be used to identify trends among students, enabling educators to intervene with those who are likely to leave the education system. This video series, a collaborative effort by the Great Lakes Comprehensive Center and the Michigan Department of Education, covers the seven-step process of installing the Early Warning Intervention and Monitoring System (EWIMS).
An early warning system allows educators to assign and provide appropriate interventions to at-risk students early on, during the 9th grade year, to prevent dropout before it happens.This video from the Regional Educational Laboratory Midwest (REL Midwest) summarizes research on early warning systems and dropout prevention. The video includes highlights from the research conducted by REL Midwest on behalf of the research alliances in the Midwestern states.
In this video, Mary Little, Professor and Program Coordinator of the Department of Child, Family, and Community Services at the University of Central Florida discusses why data and data-based decision making is such a critical part of instruction and intervention.
This fourteen minute video, developed by NCII in partnership with the Wyoming Department of Education and staff and students from Laramie County School District # 1, shares Wyoming’s journey in building the capacity of educators to implement data-based individualization (DBI) to improve academic and behavior outcomes for students with disabilities as part of their state systemic improvement plan (SSIP).
In this video developed for the Illinois Center for School Improvement, Dr. Rebecca Zumeta Edmonds discusses how screening tools can provide a more accurate measure of at-risk students within the context of a multi-tiered system of supports.