Posts Tagged ‘at risk students’
At-Risk Student Identification and Progress Monitoring
Machine Learning Methods for K-12 Early Warning Systems by Michael L. Fuller, Muskingum Valley Educational Service Center and Mackenzi Brozovich, Muskingum Valley Educational Service Center In educational settings, an early warning system (EWS) identifies students who are at-risk for one or more adverse educational outcomes related to student achievement, progression, and graduation. Specific examples include…
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