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Learning analytics in mobile and ubiquitous learning environments

Record type: Conference or Workshop Item (Paper)

Learning analytics (LA) is one of the promising techniques that has been developed in recent times to effectively utilise the astonishing volume of student data available in higher education. Despite many difficulties in its widespread implementation, it has proved to be a very useful way to support failing learners. An important feature of the literature review of LA is that LA has not provided a significant benefit in terms of learner mobility to date since not much research has been carried out to determine the importance of LA in facilitating or enhancing the learning experience of mobile learners. Therefore, this paper describes the potential advantages of using LA techniques to enhance learning in mobile and ubiquitous learning environments from a theoretical perspective. Furthermore, we describe our simplified Mobile and Ubiquitous Learning Analytics Model (MULAM) for analysing mobile learners’ data which is based on Campbell and Oblinger’s five-step model of learning analytics. Finally, we answer the question why now might be the most suitable time to consider analysing mobile learners’ data.

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Citation

Aljohani, Naif R. and Davis, Hugh C. (2012) Learning analytics in mobile and ubiquitous learning environments At 11th World Conference on Mobile and Contextual Learning: mLearn 2012, Finland. 16 - 18 Oct 2012.

More information

Published date: 16 October 2012
Venue - Dates: 11th World Conference on Mobile and Contextual Learning: mLearn 2012, Finland, 2012-10-16 - 2012-10-18
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 342971
URI: http://eprints.soton.ac.uk/id/eprint/342971
PURE UUID: 2c5c2258-555a-4bbf-a0af-fd41f005051c
ORCID for Hugh C. Davis: ORCID iD orcid.org/0000-0002-1182-1459

Catalogue record

Date deposited: 19 Sep 2012 09:14
Last modified: 18 Jul 2017 05:26

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Contributors

Author: Naif R. Aljohani
Author: Hugh C. Davis ORCID iD

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