Using the Data You Have: Learning Analytics to Increase Student Success

Learning analytics have attracted a great deal of attention in the past 18 to 20 months, says Charles Dziuban, director of the Research Initiative for Teaching Effectiveness at the Center for Distributed Learning at the University of Central Florida.  In a paper for the Journal of Asynchronous Learning Networks, Dziuban and his coauthors define learning analytics as focused on “data related to learners primarily to improve student success.”  “The purpose is to maximize the chances students will succeed, partly by passing courses.”

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