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Tech Report kmi-98-10 Abstract


Improving the quality of the student’s learning experience: an agent-based approach to on-line study guides
Techreport ID: kmi-98-10
Date: 1998
Author(s): Chris McKillop
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Study guides are a valuable resource for the distance education student. With the growing trend of putting courses on-line there an increase in the number of on-line study guides. This paper looks at how distance education students interact with their learning materials and considers ways of making this more engaging and effective by looking at the importance of affective responses. The use of an agent-based approach to on-line study guides is proposed as a way of achieving this. This approach can provide a more personal and conversational style through the use of voice and face which has been shown to be effective at engaging a student and producing a positive effect on the student’s perception of their learning experience as well as increasing performance outcomes. This paper argues that these findings should be applied to on-line study guides to improve the quality of the student’s learning experience.
 
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Multimedia and Information Systems is...


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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