You are not logged in.

Enhancing web-based adaptive learning with colored timed petri net

Gao, Shang and Dew, Robert 2007, Enhancing web-based adaptive learning with colored timed petri net, Lecture Notes in Computer Science, vol. 4798, pp. 177-185.

Attached Files
Name Description MIMEType Size Downloads

Title Enhancing web-based adaptive learning with colored timed petri net
Author(s) Gao, ShangORCID iD for Gao, Shang
Dew, RobertORCID iD for Dew, Robert
Journal name Lecture Notes in Computer Science
Volume number 4798
Start page 177
End page 185
Publisher Springer Verlag
Place of publication Berlin, Germany
Publication date 2007
ISSN 0302-9743
Summary One of the issues for Web-based learning applications is to adaptively provide personalized instructions for different learning activities. This paper proposes a high level colored timed Petri Net based approach to providing some level of adaptation for different users and learning activities. Examples are given to demonstrate how to realize adaptive interfaces and personalization. Future directions are also discussed at the end of this paper.
Notes Book Title: Knowledge science, engineering and management
Language eng
Field of Research 080610 Information Systems Organisation
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2007, Springer-Verlag Berlin Heidelberg
Persistent URL

Document type: Journal Article
Collection: School of Engineering and Information Technology
Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in TR Web of Science
Scopus Citation Count Cited 4 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 674 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 29 Sep 2008, 08:53:57 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact