Just In Time Learning
This event took place on Friday 08 February 2008 at 15:00
John B. (Jack) Park
Rapid and accelerating changes in job skills and knowledge requirements call for learning responses of increasing complexity. Core life-long learning is necessary to function as thoughtful and productive humans in society. Varieties of on-the-job training (OJT) and just-in-time learning (JITL) techniques are necessary to support evolving learning requirements. We will take the tool-builder's perspective in discussing the learning frameworks necessary to support JITL, whether JITL occurs in OJT or in classroom or home settings. The view that learning is a socially-mediated exercise is presented. We argue that the Dynamic Knowledge Repository (DKR) framework suggested by Douglas Engelbart can provide an appropriate framework with which to support learning of all kinds. We will sketch DKR applications and suggest ways to apply them to both OJT and public learning opportunities.
This event took place on Friday 08 February 2008 at 15:00
Rapid and accelerating changes in job skills and knowledge requirements call for learning responses of increasing complexity. Core life-long learning is necessary to function as thoughtful and productive humans in society. Varieties of on-the-job training (OJT) and just-in-time learning (JITL) techniques are necessary to support evolving learning requirements. We will take the tool-builder's perspective in discussing the learning frameworks necessary to support JITL, whether JITL occurs in OJT or in classroom or home settings. The view that learning is a socially-mediated exercise is presented. We argue that the Dynamic Knowledge Repository (DKR) framework suggested by Douglas Engelbart can provide an appropriate framework with which to support learning of all kinds. We will sketch DKR applications and suggest ways to apply them to both OJT and public learning opportunities.
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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