People | Member | Simon Buckingham ShumProfessor 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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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
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
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
Simsek, D., Buckingham Shum, S., Sándor, Á., De Liddo, A. and Ferguson, R. (2013) XIP Dashboard: Visual Analytics from Automated Rhetorical Parsing of Scientific Metadiscourse, Workshop: 1st International Workshop on Discourse-Centric Learning Analytics at Learning Analytics and Knowledge (LAK '13), Leuven, Belgium
Taibi, D., Sándor, Á., Simsek, D., Buckingham Shum, S., De Liddo, A. and Ferguson, R. (2013) Visualizing the LAK/EDM Literature Using Combined Concept and Rhetorical Sentence Extraction, Demo at Learning Analytics and Knowledge (LAK '13), Leuven, Belgium
Epistemic Networks for Epistemic Commitments
Techreport ID: kmi-13-03
Author(s): Simon Knight, Golnaz Arastoopour, David Williamson Shaffer, Simon Buckingham Shum, Karen Littleton
Social Learning Analytics
Techreport ID: kmi-11-01
Author(s): Simon Buckingham Shum,Rebecca Ferguson
Designing the Ontological Foundations for Knowledge Domain Analysis Technology: An Interim Report
Techreport ID: kmi-08-02
Author(s): Neil Benn, Simon Buckingham Shum, John Domingue, Clara Mancini
Visualising Discourse Coherence in Non-Linear Documents
Techreport ID: KMI-06-19
Author(s): Clara Mancini, Donia Scott and Simon Buckingham Shum
Sensemaking on the Pragmatic Web: A Hypermedia Discourse Perspective
Techreport ID: KMI-06-16
Author(s): Simon Buckingham Shum
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HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
New Media Systems is...
Our New Media Systems research theme aims to show how new media devices, standards, architectures and concepts can change the nature of learning.
Our work involves the development of short life-cycle working prototypes of innovative technologies or concepts that we believe will influence the future of open learning within a 3-5 year timescale. Each new media concept is built into a working prototype of how the innovation may change a target community. The working prototypes are all available (in some form) from this website.
Our prototypes themselves are not designed solely for traditional Open Learning, but include a remit to show how that innovation can and will change learning at all levels and in all forms; in education, at work and play.