Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/503
Full metadata record
DC FieldValueLanguage
dc.creatorRadenković, Sonja D.
dc.creatorKrdzavac, Nenad
dc.creatorDevedžić, Vladan
dc.date.accessioned2023-05-12T10:08:15Z-
dc.date.available2023-05-12T10:08:15Z-
dc.date.issued2008
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/503-
dc.description.abstractThis chapter presents a framework for intelligent analysis of the students' knowledge in assessment systems, using description logics (DLs) reasoning techniques. The framework is based on Model Driven Architecture (MDA) software engineering standards. It starts from the IMS Question and Test Interoperability (QTI) standard and includes MDA-based metamodel and model transformations for QTI assessment systems. It also specifies an architecture for QTI assessment systems that is reusable, extensible, and facilitates interoperability between its component systems. An implementation of the QTI metamodel and the relevant example of transformations is provided in order to support developments according to the proposed framework.en
dc.publisherIGI Global
dc.rightsrestrictedAccess
dc.sourceTechnology Enhanced Learning: Best Practices
dc.titleTowards more intelligent assessment systemsen
dc.typebookPart
dc.rights.licenseARR
dc.citation.epage283
dc.citation.other: 257-283
dc.citation.spage257
dc.identifier.doi10.4018/978-1-59904-600-6.ch011
dc.identifier.rcubconv_3320
dc.identifier.scopus2-s2.0-84892812885
dc.type.versionpublishedVersion
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypebookPart-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Radovi istraživača / Researchers’ publications
Show simple item record

SCOPUSTM   
Citations

1
checked on Nov 17, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.