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. In this paper, we define learning analytics, how it has been used in educational
institutions, what learning analytics tools are available, and how faculty can make use of data in
their courses to monitor and predict student performance. Finally, we discuss several issues and
concerns with the use of learning analytics in higher education.
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