Exploring Learning Analytics as Indicators of Study Behaviour
Rob Phillips, Dorit Maor, Murdoch Univ., Australia ; Greg Preston, University of Newcastle, Australia ; Wendy Cumming-Potvin, Murdoch Univ., Australia
EdMedia + Innovate Learning, in Denver, Colorado, USA ISBN 978-1-880094-95-2 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
In this paper we describe the use of learning analytics to provide indicators of students’ behaviour in technology-enhanced learning environments. We first provide an overview of the emerging field of learning analytics, and then describe a learning-analytic tool which reports student use of the Lectopia lecture capture system across the weeks of a semester, both collectively and individually. Observation of the data provided by the system enabled us to develop a set of proto-theoretical categories of behaviour, with associated algorithms to numerically identify these categories. Finally, we describe the use of the learning-analytic tool in a mixed methods approach to investigate in depth how students, with different characteristics, engage with and learn from technology-enhanced learning environments.
Phillips, R., Maor, D., Preston, G. & Cumming-Potvin, W. (2012). Exploring Learning Analytics as Indicators of Study Behaviour. In T. Amiel & B. Wilson (Eds.), Proceedings of EdMedia 2012--World Conference on Educational Media and Technology (pp. 2861-2867). Denver, Colorado, USA: Association for the Advancement of Computing in Education (AACE).
© 2012 Association for the Advancement of Computing in Education (AACE)
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