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-List Of Titles -Using ontologies to author constraint-based intelligent tutoring systems

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/163856

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Title
Using ontologies to author constraint-based intelligent tutoring systems
Related
Dicheva, Darina; Mizoguchi, Riichiro and Greer, Jim. Semantic Web technologies for e-learning, p.77-95
Related
The future of learning Vol. 4
Publisher
Amsterdam ; Washington, D.C : IOS Press
Date
2009
Author/Creator
Suraweera, Pramuditha
Author/Creator
Mitrovic, Antonija
Author/Creator
Martin, Brent
Author/Creator
Holland, Jay
Author/Creator
Milik, Nancy
Author/Creator
Zakharov, Konstantin
Author/Creator
McGuigan, Nicholas
Description
In this chapter we focus on the role of ontologies in developing constraint-based tutors, a special class of Intelligent Tutoring Systems (ITSs). Domain models for ITSs are extremely difficult to develop, and therefore efforts devoted to automatic induction of the necessary knowledge are of critical importance for widening the real-world impact of ITSs. We conducted an initial study which showed that ontologies were useful for manual composition of domain models for constraint-based tutors, as they allow authors to reflect on their understanding of the domain and organize the domain model better. Starting from these encouraging results, we developed ASPIRE, an authoring system for constraint-based tutors, which automated many of the tasks in domain model generation and serves the produced ITSs. The domain ontology plays a central role in the authoring procedure deployed in ASPIRE. We present one of the ITSs produced in ASPIRE as well as the experiences of authors in using ASPIRE.
Description
19 page(s)
Subject Keyword
Intelligent Tutoring Systems
Subject Keyword
constraint-based tutors
Subject Keyword
authoring support
Subject Keyword
ontologies
Subject Keyword
domain models
Resource Type
book chapter
Organisation
Macquarie University. Dept. of Accounting and Corporate Governance

Identifier
http://hdl.handle.net/1959.14/163856
Identifier
ISBN:9781607500629
Identifier
mq-rm-2010006100
Language
eng
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"Semantic Web technologies for e-learning"
 
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