NDLI: Checking Semantic Consistency of SCORM like Learning Objects

Content Provider	IEEE Xplore Digital Library
Author	Farhat, R. Defude, B. Jemni, M.
Copyright Year	2010
Abstract	Semantic metadata are not yet fully integrated in most learning metadata profiles. Moreover, when it is supported it is only used to improve the quality of results returned by search engines in LOR (learning object repositories) and LMS (Learning Management Systems). Within the framework of APOGE project, we want to demonstrate the usability of semantic metadata, when they are provided, during the authoring phase to assist authors to improve the consistency of new designed learning objects. The added value of our approach is maximized in the case of SCORM (Sharable Content Object Reference Model) like learning objects’ authoring. Indeed, when we have learning objects designed by reuse of existing ones there is risks to have weaknesses mainly due to a bad understanding of the true nature of the reused objects. To overcome those risks we have defined an automated authoring assistance approach. In this paper we put the emphasis on two semantic based methods used in our approach: semantic consistency checking and learning object’s semantic space analysis.
Starting Page	163
Ending Page	167
File Size	346123
Page Count	5
File Format	PDF
ISBN	9781424471447
e-ISBN	9781424471454
DOI	10.1109/ICALT.2010.52
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-05
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantics Relational databases Shape Ontologies Concrete Conferences Pediatrics authoring approach Learning object semantic metadata consistency
Content Type	Text
Resource Type	Article

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