Traffic architecture motivated Learning Object organisation in a virtual environment

Authors:
A.S.M. Mahfujur Rahman;Abdulmotaleb El Saddik
Affiliations:
Multimedia Communications Research Laboratory (MCR Lab), School of Information Technology and Engineering, University of Ottawa, 800 King Edward, Ottawa, Ontario, K1N 6N5, Canada.;Multimedia Communications Research Laboratory (MCR Lab), School of Information Technology and Engineering, University of Ottawa, 800 King Edward, Ottawa, Ontario, K1N 6N5, Canada
Venue:
International Journal of Advanced Media and Communication
Year:
2008

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Abstract

This paper introduces a structuring method applied to a collection of searched Learning Objects (LOs). Firstly, frequencies of the search keywords are calculated. Then the LOs are grouped under the most ranked keywords. The ranked keywords are taken further into consideration for finding semantic relation metrics that allow us to present the groups visually; for which we have adopted a 3D highway metaphor where these groups are positioned along the dynamically constructed road segments. Since the groups are inter-connected using road networks in accordance to the relation metrics, it leverages the navigational experience of a user while searching for the topic of interest.