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.
Future Internet
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Knowledge ServicesSocial Software
Semantic Web and Knowledge Services is...
Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
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