Ferguson, Rebecca and Buckingham Shum, Simon
(2012).
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Abstract
This paper proposes that Social Learning Analytics (SLA) can be usefully thought of as a subset of learning analytics approaches. SLA focuses on how learners build knowledge together in their cultural and social settings. In the context of online social learning, it takes into account both formal and informal educational environments, including networks and communities. The paper introduces the broad rationale for SLA by reviewing some of the key drivers that make social learning so important today. Five forms of SLA are identified, including those which are inherently social, and others which have social dimensions. The paper goes on to describe early work towards implementing these analytics on SocialLearn, an online learning space in use at the UK’s Open University, and the challenges that this is raising. This work takes an iterative approach to analytics, encouraging learners to respond to and help to shape not only the analytics but also their associated recommendations.
| Item Type: | Conference Item |
|---|---|
| Copyright Holders: | 2012 ACM |
| Extra Information: | This is the author’s version of the work. It is posted here
by permission of ACM for your personal use. Not for redistribution. The definitive version was published in: Proceedings LAK’12: 2nd International Conference on Learning Analytics & Knowledge, 29 April - 2 May 2012, Vancouver, BC, Canada. ACM Digital Library: http://dl.acm.org |
| Keywords: | social learning; learning analytics; discourse analytics; learning how to learn; transferable skills; 21st century skills; educational assessment; social learning analytics; SocialLearn |
| Academic Unit/Department: | Institute of Educational Technology Knowledge Media Institute |
| Interdisciplinary Research Centre: | Centre for Research in Education and Educational Technology (CREET) Centre for Research in Computing (CRC) |
| Related URLs: | |
| Item ID: | 32910 |
| Depositing User: | Kay Dave |
| Date Deposited: | 08 Mar 2012 09:22 |
| Last Modified: | 11 Apr 2013 08:53 |
| URI: | http://oro.open.ac.uk/id/eprint/32910 |
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