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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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Lane, David J. – Journal of College Student Retention: Research, Theory & Practice, 2017
This study investigated the effect of personal identity and social comparison on college graduation. First-year college students completed an online survey measuring exploration and commitment to personal identity and perceptions of the prototypical student. Those who perceived the typical student as favorable but dissimilar to themselves had the…
Descriptors: Comparative Analysis, Graduation, Self Concept, College Freshmen