Buckingham Shum, Simon and Ferguson, Rebecca
(2012).
| URL: | http://www.ifets.info/journals/15_3/2.pdf |
|---|---|
| Google Scholar: | Look up in Google Scholar |
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 |
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| 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: |
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| 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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