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Journal of Interactive Online Learning Volume 12, Number 1, Spring 2013 ISSN: 1541-4914 17 Using Learning Analytics to Predict (and Improve) Student Success: A Faculty Perspective Beth Dietz-Uhler & Janet E. Hurn Miami University Abstract Learning Analytics is receiving increased attention, in part because it offers to assist educational institutions in increasing student retention, improving student success, and easing the burden of accountability. Although these large-scale issues are worthy of consideration, faculty might also be interested in how they can use Learning Analytics in their own courses to help their students succeed.
Journal of Interactive Online Learning www.ncolr.org/jiol Volume 12, Number 1, Spring 2013 ISSN: 1541-4914 17 Using Learning Analytics to Predict (and Improve) Student Success: A Faculty Perspective
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