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Waddington, R. Joseph; Nam, SungJin; Lonn, Steven; Teasley, Stephanie D. – Journal of Learning Analytics, 2016
Early Warning Systems (EWSs) aggregate multiple sources of data to provide timely information to stakeholders about students in need of academic support. There is an increasing need to incorporate relevant data about student behaviors into the algorithms underlying EWSs to improve predictors of students' success or failure. Many EWSs currently…
Descriptors: Dropout Prevention, Data Analysis, STEM Education, Core Curriculum

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