Tech Report

Social Learning Analytics

We propose that the design and implementation of effective Social Learning Analytics presents significant challenges and opportunities for both research and enterprise, in three important respects. The first is the challenge of implementing analytics that have pedagogical and ethical integrity, in a context where power and control over data is now of primary importance. The second challenge is that the educational 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, and ways of conceiving social learning environments as distinct from other social platforms. This sets the context for the third challenge, namely, to understand different types of Social Learning Analytic, each of which has specific technical and pedagogical challenges. We propose an initial taxonomy of five types. We conclude by considering potential futures for Social Learning Analytics, if the drivers and trends reviewed continue, and the prospect of solutions to some of the concerns that institution-centric learning analytics may provoke.

Publication(s)

NOTE: This 2011 Technical Report was withdrawn on 11 Sept. 2012, having been subsumed by two peer reviewed publications: see the PDF coversheet for details.

ID: kmi-11-01

Date: 2011

Author(s): Simon Buckingham Shum,Rebecca Ferguson

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Knowledge Media Institute (KMi)
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The Knowledge Media Institute (KMi) is looking for a bright and ambitious post-doctoral researcher to complement the Open University’s Data Science Group. You will have a profound understanding of the practices of data modelling and sharing, as well as of their use (and the challenges they raise) in domains of general public interest – especially education, the arts and humanities, cultural and social issues. By joining an already strong Data Science group...

Research Assistant / Associaste

Knowledge Media Institute (KMi)
£28,982 - £37,768
Based in Milton Keynes
Temporary contract for 12 months

The Knowledge Media Institute (KMi) is looking for a bright and ambitious post-doctoral researcher to complement the Open University’s Data Science Group, working at the interface between computer science and the social sciences on the non-technological implications of Data Science and Big Data. You will have a profound understanding of the practices related to data management, data protection, privacy, ethics and data licencing, as applied both to large data-intensive processes (see e.g....

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