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. 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.
About the Author(s)...
Beth Dietz-Uhler is Professor of Psychology at Miami University. Her research interests include small group behavior, online learning, the use of technology in teaching and learning, and the scholarship of teaching and learning. She teaches a variety of online courses in psychology. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..
Janet E. Hurn is Coordinator of Regional E-Learning Initiatives and a Senior Instructor of Physics at Miami University in Middletown and Hamilton, Ohio. Janet oversees the development of online and hybrid courses at the Miami regional campuses. She also helps faculty integrate technology into their classrooms and staff incorporate technology to improve workflow. Her research interests currently include learning analytics and online student retention. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..
