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Social learning analytics

Buckingham Shum, Simon and Ferguson, Rebecca (2012). Social learning analytics. Journal of Educational Technology and Society, 15(3) pp. 3–26.

URL: http://www.ifets.info/journals/15_3/2.pdf
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Abstract

We propose that the design and implementation of effective Social Learning Analytics (SLA) present significant challenges and opportunities for both research and enterprise, in three important respects. The first is that the learning landscape is extraordinarily turbulent at present, in no small part due to technological drivers. Online social learning is emerging as a significant phenomenon for a variety of reasons, which we review, in order to motivate the concept of social learning. The second challenge is to identify different types of SLA and their associated technologies and uses. We discuss five categories of analytic in relation to online social learning; these analytics are either inherently social or can be socialised. This sets the scene for a third challenge, that of implementing analytics that have pedagogical and ethical integrity in a context where power and control over data are now of primary importance. We consider some of the concerns that learning analytics provoke, and suggest that Social Learning Analytics may provide ways forward. We conclude by revisiting the drivers and trends, and consider future scenarios that we may see unfold as SLA tools and services mature.

Item Type: Journal Article
Copyright Holders: 2012 The Authors, International Forum of Educational Technology & Society (IFETS)
ISSN: 1436-4522
Extra Information: Special Issue on Learning & Knowledge Analytics, Eds. G. Siemens & D. Gašević
Keywords: learning analytics; social learning; dispositions; social networks; discourse; informal learning
Academic Unit/Department: Knowledge Media Institute
Institute of Educational Technology
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Centre for Research in Education and Educational Technology (CREET)
Related URLs:
Item ID: 34092
Depositing User: Kay Dave
Date Deposited: 26 Jul 2012 08:36
Last Modified: 28 Jan 2013 09:39
URI: http://oro.open.ac.uk/id/eprint/34092
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