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January 30, 2008

This powerpoint presentation describes the following three stepts to reducing dropouts: 1) understand the dropout problem in your community, 2) build an early  warning, prevention, and intervention system, 3) involve the community.

FHI 360 is collaborating with the Caribbean HIV/AIDS Alliance (CHAA) to develop and implement a targeted social media strategy for the Eastern Caribbean Community Action Project II (EC-CAP II). 

September 2010

This Early Warning System (EWS) Implementation Guide is a supporting document for schools and districts that are implementing the National High School Center’s Early Warning System (EWS) Tool v2.0.

May 2007

The purpose of this issue brief is to provide information and guidance to state education agencies (SEAs) regarding their accountability for the Individuals with Disabilities Education Improvement Act (IDEA) 2004 legislative mandates in the area of dropout prevention for students with disabilities. 

July 2008

This guide, intended for educators and policymakers at the school, district, and state levels, is designed to provide information about the following: factors that contribute to a student’s dropping out, research on early warning indicators, school and district-level early warning systems, and states’ roles in supporting early warning systems.

For districts that want to create their own ISIS data reports using Excel, but need help creating condition formatting to color code student status in each of the indicator areas.

2011

Although the national high school graduation rate is still too low and too few of our graduates have the skills they need to succeed after high school, an essential foundation has been laid to significantly increase graduation rates to 90 percent for the Class of 2020 and concerted efforts to rise to a standard of excellence are bearing fruit. This report is the first in a series of annual updates that will be provided through 2020, as the nation makes progress and confronts challenges to meet this national goal.

An article describing how one school’s use of data, small learning communities, and a focus on advisory helped ensure that, Omarina Cabrera, a Bronx middle grade student whose family struggles threatened to distract her from school, did not fall off the track to success.

One of the first articles describing the early warning indicator research conducted by a team from Johns Hopkins University and the Philadelphia Education Fund. This research found that 80 percent of the students who dropped out of high school had sent a distress signal in the middle grades or during the first year of high school, and these “early warning signals” are failing grades in English and math, poor behavior, and poor attendance. These data serve as an early warning system to flag at-risk students and intervene to keep them on the path to graduation. 

August 2009

The researchers created a middle level school-based model designed to keep students on track and prepare them for high school. They have learned that it is possible to create a multi-tiered school improvement and intervention model in middle grades schools in high-poverty neighborhoods where large numbers of students need a range of supports to stay on track. The following are key components of the Early Warning Systems model.