Tech Reports
Tech Report kmi-97-18 Abstract
On-line study guides for distance education students: can 'advisor' agents help?
Techreport ID: kmi-97-18
Date: 1997
Author(s): Chris McKillop
This project focussed on the construction of a prototype on-line study guide for the 'M206 Computing: An Object-oriented Approach' distance education course provided by the Open University (UK). The specific problems students encounter while studying a course with a complex media mix such as this course have been looked at, as well as the wider issues concerning the problems distance education students encounter whilst studying. A comparison between the difficulties distance education and traditional students have when studying has also been made and a number of interesting similarities and differences observed. A prototype on-line study guide has been constructed using an 'advisor' agent, the Progress Advisor. The Progress Advisor has been evaluated by distance education students who were very positive about it. From this evidence the idea of 'advisor' agents is one worth developing further. While this was a small project, a number of important and interesting issues have emerged from the research warranting further investigation and the importance of further research in this area has been highlighted. This work was carried out in the Knowledge Media Institute, Open University, under the supervision of Dr. Tamara Sumner.
Publication(s):
Dissertation for MSc in Human-Centred Computer Systems, School of Cognitive and Computing Sciences, University of Sussex.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
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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