Exploring learning analytics as indicators of study behaviour

Phillips, R., Maor, D.ORCID: 0000-0002-0743-4755, Preston, G. and Cumming-Potvin, W.ORCID: 0000-0002-4961-9379 (2012) Exploring learning analytics as indicators of study behaviour. In: World Conference on Educational Multimedia, Hypermedia and Telecommunications (EDMEDIA) 2012, 25 - 29 June 2012, Denver, CO pp. 2861-2867.

Abstract

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.

Item Type:	Conference Paper
Murdoch Affiliation:	School of Education
Publisher:	Association for the Advancement of Computing in Education
Copyright:	2012 AACE
Notes:	Appears In: Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2012
URI:	http://researchrepository.murdoch.edu.au/id/eprint/10460

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