Tech Reports
Tech Report kmi-97-11 Abstract
The Virtual Participant: Lessons to be Learned from a Case-Based Tutor's Assistant
Techreport ID: kmi-97-11
Date: 1997
Author(s): Simon Masterton
We describe a system which uses an agent-based approach to support teaching in the collaborative setting of asynchronous plain-text electronic conferencing. We have identified areas within which tutors who use conferencing need support and developed a system which helps out in an opportunistic manner. The agent we have developed uses a case-based approach to instruction by offering help on common student problems. The cases used are examples of problems experienced by students in previous years and discussions of how they were resolved. These cases are presented by the agent when it identifies an appropriate point in the conference. An experimental version of this agent, which we call the 'Virtual Participant' (VP), has been tested on the Open University MBA course 'Creative Management'. We review the effect of the system and the lessons to be learned from this experiment.
Publication(s):
Accepted at CSCL'97
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
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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...
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