MUP/PLE lecture series
This event took place on Thursday 14 July 2011 at 14:00
Marco Kalz Centre for Learning Sciences and Technologies of the Open University of the Netherlands
Despite promising example implementations the amount of empirical research about the use of PLE for learning is rather small. One of the reasons for this is that the concept of PLE is still fuzzy and that there is no shared research agenda for PLE research and development.
The presentation will provide a short analysis of the current state of the art of PLE research and development. The Theory of Structuration by Anthony Giddens and successive technology oriented theories will be used to define Personal Learning Environments from a structurational perspective. PLE will be discussed in the light of self-organized learning, double-loop learning and reflection about learning. In addition the PLE will be discussed as an environment to capture learning experiences from different contexts. Current research challenges will be summarized and future research directions proposed.
This event took place on Thursday 14 July 2011 at 14:00
Despite promising example implementations the amount of empirical research about the use of PLE for learning is rather small. One of the reasons for this is that the concept of PLE is still fuzzy and that there is no shared research agenda for PLE research and development.
The presentation will provide a short analysis of the current state of the art of PLE research and development. The Theory of Structuration by Anthony Giddens and successive technology oriented theories will be used to define Personal Learning Environments from a structurational perspective. PLE will be discussed in the light of self-organized learning, double-loop learning and reflection about learning. In addition the PLE will be discussed as an environment to capture learning experiences from different contexts. Current research challenges will be summarized and future research directions proposed.
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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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