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David M. Alexandro – ProQuest LLC, 2018
In response to the high school dropout crisis, which comes with great economic and social costs, early warning systems (EWSs) have been developed to systematically predict and improve student outcomes. The purpose of this study is to evaluate different statistical and machine learning methods to predict high school student performance and improve…
Descriptors: At Risk Students, Progress Monitoring, Artificial Intelligence, Prediction
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Myint-U, Athi; O'Donnell, Lydia; Phillips, Dawna – Regional Educational Laboratory Northeast & Islands, 2012
This technical brief describes updates to a database of dropout prevention programs and policies in 2006/07 created by the Regional Education Laboratory (REL) Northeast and Islands and described in the Issues & Answers report, "Piloting a searchable database of dropout prevention programs in nine low-income urban school districts in the…
Descriptors: Dropout Prevention, Dropout Programs, Databases, Maintenance