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Content exploration for e-learning using XML Web services

Sajjanhar, Atul, Hou, Jingyu and Chen, Yi-Ping Phoebe 2005, Content exploration for e-learning using XML Web services, in AMT 2005 : Proceedings of the 2005 International Conference on Active Media Technology : (AMT2005) : May 19-21, 2005, Kagawa International Conference Hall, Takamatsu, Kagawa, Japan, IEEE Xplore, Piscataway, N.J., pp. 266-266.

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Title Content exploration for e-learning using XML Web services
Author(s) Sajjanhar, Atul
Hou, Jingyu
Chen, Yi-Ping Phoebe
Conference name International Conference on Active Media Technology (3rd : 2005 : Kagawa-gun, Japan)
Conference location Kagawa, Japan
Conference dates 19-21 May 2005
Title of proceedings AMT 2005 : Proceedings of the 2005 International Conference on Active Media Technology : (AMT2005) : May 19-21, 2005, Kagawa International Conference Hall, Takamatsu, Kagawa, Japan
Editor(s) Tarumi, Hiroyuki
Li, Yuefeng
Yoshida, Tetsuya
Publication date 2005
Start page 266
End page 266
Publisher IEEE Xplore
Place of publication Piscataway, N.J.
Summary Obtaining high quality content in an e-learning portal is critical to maximise the learning experience. For e-learning portals the content specialists are the publishers. Typically, publishers are nominated by portal administrators to make their content available to instructors. Instructors subsequently customise the portal by selecting content according to their requirements. The choice of content is limited to that provided by the publishers. This is a rigid system owing to the fact that instructors do not have access to an exhaustive range of content. We propose a system based on XML Web services which can be adopted by publishers in adherence with a number of emerging Web standards including SOAP and UDDI to disseminate their content. This system can be leveraged by portals to preview and subsequently acquire content which best suits the requirements as determined by instructors.
ISBN 0780390350
9780780390355
Language eng
Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified
HERDC Research category E2 Full written paper - non-refereed / Abstract reviewed
Copyright notice ┬ęThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30014429

Document type: Conference Paper
Collections: School of Information Technology
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