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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
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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.
 
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Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

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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