How Engaged are Our Students? Using Analytics to Identify Students At-risk

ID: 52882 Type: Full Paper: Practice Based
  1. Tony Williams, Jason Morton, Peter Kilgour, and Maria Northcote, Avondale College of Higher Education, Australia

Wednesday, June 27 10:45 AM-11:15 AM Location: De Dam 1 View on map

Presider: Joshua Weidlich, Department of Technology-Enhanced Learning, University of Education, Heidelberg in Germany, Germany

Abstract: Learning Management System (LMS) analytics have become an area of increasing interest and development. The potential to better understand our students’ levels of engagement provided by the systems have, to date, has been underutilized information resources. The study reported here looks at the relationship of student and staff engagement in the LMS and considers the levels of predictability in student behavior leading to failure. Also considered is the impact of the lecturer on the student engagement of poor and high performing students.


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