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Predicting, Intervening, and Empowering: A multi-faceted, data-driven plan for improving student persistence
Institutions for Higher Education want students to perform well. They want them to be engaged. They want to retain them. Real-time capture, analysis and reporting of commonly used measurements can identify at-risk learners and enable early intervention, to both prevent drop-out and enhance the likelihood of success. Amy Price & Elizabeth Dalton explains a real-time, data-driven approach to meeting the challenge of evaluating and enhancing engagement.


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