Supporting adaptive learning with high level timed Petri nets

Gao, S; Zhang, Z; Wells, J; Hawryszkiewycz, IT

Supporting adaptive learning with high level timed Petri nets

Gao, S Zhang, Z Wells, J Hawryszkiewycz, IT

Permalink

Publisher:: Springer-Verlag Berlin
Publication Type:: Conference Proceeding
Citation:: Lecture Notes In computer Science: Knowledge-Based Intelligent Information And Engineering Systems, Pt 3, Proceedings, 2005, 3683 pp. 834 - 840
Issue Date:: 2005-01

Closed Access

	Filename	Description	Size
	2005000819.pdf		472 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Gao, S	en_US
dc.contributor.author	Zhang, Z	en_US
dc.contributor.author	Wells, J	en_US
dc.contributor.author	Hawryszkiewycz, IT https://orcid.org/0000-0003-2256-0132	en_US
dc.contributor.editor	NA	en_US
dc.date	2005-09-14	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	Lecture Notes In computer Science: Knowledge-Based Intelligent Information And Engineering Systems, Pt 3, Proceedings, 2005, 3683 pp. 834 - 840	en_US
dc.identifier.isbn	978-3-540-28896-1	en_US
dc.identifier.uri	http://hdl.handle.net/10453/5013
dc.description.abstract	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 informat	en_US
dc.publisher	Springer-Verlag Berlin	en_US
dc.relation.ispartof	Lecture Notes In computer Science: Knowledge-Based Intelligent Information And Engineering Systems, Pt 3, Proceedings	en_US
dc.relation.ispartof	International Conference on Knowledge-Based and Intelligent Information and Engineering Systems	en_US
dc.relation.isbasedon	10.1007/11553939_118	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Supporting adaptive learning with high level timed Petri nets	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3683	en_US
utslib.location	Berlin, Germany	en_US
utslib.location.activity	Melbourne, Australia	en_US
utslib.for	080608 Information Systems Development Methodologies	en_US
utslib.for	080603 Conceptual Modelling	en_US
dc.location.activity	Melbourne, Australia	en_US
dc.location.activity	Johannesburg, South Africa
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Berlin, Germany	en_US
pubs.start-date	2005-09-14	en_US
pubs.volume	3683	en_US

Abstract:

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 informat

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/5013