1. Early Warning Systems: March 2014 Copyright © 20XX American Institutes for Research. All rights reserved. Looking Back and Forward Mindee O’Cummings Principal Research Analyst

2. 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

3.  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

4.  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

5.  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

6. 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