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Early Warning Systems: March 2014 Copyright © 20XX American Institutes for Research. All rights reserved. Looking Back and Forward Mindee O’Cummings Principal Research Analyst
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Early warning systems (EWS) rely on readily available data housed at the school to: Predict which students are at-risk for dropping out of high school. Target resources to support off-track students while they are still in school, before they drop out. Examine patterns and identify school climate issues. Early Warning System 2
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Used in over 100 districts in 12 states Downloaded 20,000+ times Operationalizes an Early Warning System Implementation and Monitoring process Enhanced EWS tool features and format over time AIR’s Early Warning System 3 Step 1: Establish Roles and Responsibilities Step 2: Use the EWS Tool Step 3: Review the EWS Data Step 4: Interpret the EWS Data Step 5: Assign and Provide Interventions Step 6: Monitor Students and Interventions Step 7: Evaluate and Refine the EWS Process
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Develop a common understanding of early warning system indicators and framework Use early warning system data to take action to support at- risk students Consider implementation levers Empower action through leadership Lessons Learned 4
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Origin: Direct request from the REL Midwest dropout prevention research alliance Purpose: Impact of EWIMS on both student-level and school-level outcomes Approach: Large-scale randomized controlled trial Context: 70+ high schools in three states: Indiana, Michigan, and Ohio Timeline: Implementation spring 2014 – spring 2015 On-time Graduation Project 5
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Mindee O’Cummings 202-403-5254 mocummings@air.org 1000 Thomas Jefferson Street NW Washington, DC 20007 General Information: 202-403-5000 TTY: 887-334-3499 www.air.org 6
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