MUP/PLE lecture series
This event took place on Tuesday 17 May 2011 at 14:00
Fridolin Wild KMi, The Open University
Within this talk, a new (small) theory of learning with technology will be presented, which is grounded in methodical culturalism and activity theory. The theory boils down to grounding the development of rich professional competence in sharing language through social interaction, mediated by tools.
One model of putting this into practice is in using natural language processing tools to capture conceptual knowledge from learners’ communicative exchange, complemented by a represention of their practices of e.g. web interaction with a human-language-like mash-up scripting language.
Using a potent combination of latent semantic analysis and social network analysis, the learning of individuals and groups can then be dismantled and subjected to (computational) inspection.
A set of application examples rounds up the talk.
This event took place on Tuesday 17 May 2011 at 14:00
Within this talk, a new (small) theory of learning with technology will be presented, which is grounded in methodical culturalism and activity theory. The theory boils down to grounding the development of rich professional competence in sharing language through social interaction, mediated by tools.
One model of putting this into practice is in using natural language processing tools to capture conceptual knowledge from learners’ communicative exchange, complemented by a represention of their practices of e.g. web interaction with a human-language-like mash-up scripting language.
Using a potent combination of latent semantic analysis and social network analysis, the learning of individuals and groups can then be dismantled and subjected to (computational) inspection.
A set of application examples rounds up the talk.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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