Supporting adaptive learning with high level timed petri nets

Gao, Shang, Zhang, Zili, Wells, Jason and Hawryszkiewycz, Igor 2005, Supporting adaptive learning with high level timed petri nets, Lecture notes in computer science, vol. 3683/2005, pp. 834-840.

Attached Files
Name Description MIMEType Size Downloads

Title Supporting adaptive learning with high level timed petri nets
Author(s) Gao, ShangORCID iD for Gao, Shang
Zhang, ZiliORCID iD for Zhang, Zili
Wells, JasonORCID iD for Wells, Jason
Hawryszkiewycz, Igor
Journal name Lecture notes in computer science
Volume number 3683/2005
Start page 834
End page 840
Publisher Springer-Verlag
Place of publication Berlin , Germany
Publication date 2005
ISSN 0302-9743
Keyword(s) petri nets
hypertext-based learning applications
computer applications
adaptive learning
Summary Supporting adaptive learning is one of the key problems for hypertext-based learning applications. This paper proposed a timed Petri Net based approach that provides adaptation to learning activities by controlling the visualization of hypertext information nodes. Simple examples were given while explaining ways to realize adaptive operations. Future directions were also discussed at the end of this paper.
Language eng
Field of Research 080501 Distributed and Grid Systems
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2005, Springer-Verlag Berlin Heidelberg
Persistent URL

Document type: Journal Article
Collection: School of 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 1 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 630 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 07 Jul 2008, 08:42:02 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