KMi People

People | Member | Simon Buckingham Shum

Professor of Learning Informatics

My work is inspired by the vision and >40 years’ work of pioneer Doug Engelbart: to develop technologies which “augment human intellect”, our “collective capability for coping with complex, urgent problems.”

My current work revolves around these separate but also intersecting fields:

* Collective Intelligence infrastructure (technologies and ways of working that pool what is known) for contested knowledge (these days most claims are contestable, and in any serious dilemmas, there is disagreement about the way forward).

* Learning Analytics (how do you know if someone is learning from the digital traces they leave behind?), in particular, for 21st century qualities (the personal skills and dispositions that citizens need to thrive in an age of turbulence and complexity — starting at primary school).

Keys: Learning Analytics, Collective Intelligence, Argument Visualization

Election Debate Visualization
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Evidence Hub
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5 Most Recent External Publications

Publications | Visit External Site for Details Publications | doi

Simsek, D., Buckingham Shum, S., De Liddo, A., Ferguson, R. and Sándor, Á. (2014) Visual Analytics of Academic Writing, Demo at The 4th International Learning Analytics and Knowledge, Indianapolis, IN, USA, pp. 265-266, ACM New York, NY, USA ©2014

Publications | Visit External Site for Details

Knight, S., Buckingham Shum, S. and Littleton, K. (2014) Epistemology, assessment, pedagogy: where learning meets analytics in the middle space, Journal of Learning Analytics, UTS ePress

Publications | Visit External Site for Details

Knight, S., Arastoopour, G., Shaffer, D., Buckingham Shum, S. and Littleton, K. (2014) Epistemic networks for epistemic commitments, International Conference of the Learning Sciences (ICLS), Boulder, Colarado, USA

Publications | Visit External Site for Details

De Liddo, A. and Buckingham Shum, S. (2013) Improving Online Deliberation with Argument Network Visualization, Workshop: Digital Cities 8 at 6th International Conference on Communities and Technologies, C&T 2013, Munich, Germany

Publications | Visit External Site for Details

De Liddo, A. and Buckingham Shum, S. (2013) The Evidence Hub: Harnessing the Collective Intelligence of Communities to Build Evidence-Based Knowledge, Workshop: Large Scale Ideation and Deliberation at 6th International Conference on Communities and Technologies, Munich, Germany

View all 117 publications

5 Most Recent Tech Reports

Epistemic Networks for Epistemic Commitments
Techreport ID: kmi-13-03
Date: 2013
Author(s): Simon Knight, Golnaz Arastoopour, David Williamson Shaffer, Simon Buckingham Shum, Karen Littleton
View Abstract Web Version

Social Learning Analytics
Techreport ID: kmi-11-01
Date: 2011
Author(s): Simon Buckingham Shum,Rebecca Ferguson
View Abstract Download PDF

Designing the Ontological Foundations for Knowledge Domain Analysis Technology: An Interim Report
Techreport ID: kmi-08-02
Date: 2008
Author(s): Neil Benn, Simon Buckingham Shum, John Domingue, Clara Mancini
View Abstract Download PDF

Visualising Discourse Coherence in Non-Linear Documents
Techreport ID: KMI-06-19
Date: 2006
Author(s): Clara Mancini, Donia Scott and Simon Buckingham Shum
View Abstract Download PDF

Sensemaking on the Pragmatic Web: A Hypermedia Discourse Perspective
Techreport ID: KMI-06-16
Date: 2006
Author(s): Simon Buckingham Shum
View Abstract Download PDF

View all 44 Tech Reports  


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Knowledge Media Institute | The Open University | Brian Buckingham Shum

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KMi 2013 - A review of the year

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Journal | 25 years of knowledge acquisition

Social Software is...

Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.