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Development of a practical model for school leaders using elementary student data to predict high school dropout risk
Author(s) -
Nathan Hoven
Publication year - 2013
Publication title -
mospace institutional repository (university of missouri)
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.32469/10355/37782
Subject(s) - dropout (neural networks) , school dropout , mathematics education , at risk students , computer science , psychology , sociology , machine learning , socioeconomics
Title from PDF of title page (University of Missouri--Columbia, viewed on August 27, 2013).

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