Murnion, Phelim and Helfert, Markus
(2012)
Learning Analytics Artefacts in a Cloud-based Environment: a Design science perspective.
Proceedings of the 11th European Confernece on e-Learning: ECEL.
Abstract
Learning analytics is the analysis of learning data for optimising learning and learning
environments. A number of models or frameworks for learning analytics have been proposed, which
focus on the process of analytics. Motivated by framework developments in other areas, such as
systems development and IT management we propose to view learning analytics through the lens of
design science. We identify a set of artefacts which extend the existing learning analytics framework
along a second dimension. Incorporating a learning model based on interaction theory, the extended
framework and artefacts are applied to a case study of business computing students studying
customer relationship management in a cloud computing environment. The study shows the artefacts
to be useful in extending the descriptive ability of the analytics framework.
The significance of the work is that it provides a view of analytics through the lens of design science.
In this way the extended framework provides a number of advantages for the application of learning
analytics. The framework also contributes to learning analytics research by expanding the analytics
vocabulary and providing tools for further research.
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