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NOTE: This 2011 Technical Report was withdrawn on 11 Sept. 2012, having been subsumed by two peer reviewed publications: see the PDF coversheet for details.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

Resources:
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Research Assistant / Associate - Data Science

Knowledge Media Institute (KMi)
£28,695 - £37,394
Based in Milton Keynes
Temporary contract for 24 months

We are looking for a researcher to work on a new EU funded project the European Data Science Academy (edsa-project.eu) which aims to bridge the current data science skills gap through three main activities: Demand analysis: using data mining tools scrutinizing thousands of job descriptions and technology blogs to gain a thorough understanding of the skills required in industry (which will vary by sector and region). See [1] for a small demo we created for the proposal. Data science...

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