DocumentCode :
1614755
Title :
Using automatic metadata generation to reduce the knowledge and time requirements for making SCORM learning objects
Author :
Edvardsen, Lars Fredrik Høimyr ; Sølvberg, Ingeborg Torvik ; Aalberg, Trond ; Tratteberg, H.
Author_Institution :
Intell. Commun. AS, Oslo, Norway
fYear :
2009
Firstpage :
253
Lastpage :
258
Abstract :
The Internet is packed with resources which can be used for educational purposes, referred to as Learning Objects (LOs). Locating the LO which is best suited for your educational purposes can be extremely challenging. This since the context surrounding the LO in regards to intended user group, educational level etc. are not included in the resource. The SCORM standard has changed this by including contextual metadata as part of the resource. However, SCORM LOs are scarcely created, much as a result of high knowledge and time requirements needed for creating the necessary metadata. This research has been using Automatic Metadata Generation tools to assist in the metadata creation process, enabling LOs to share common contextual metadata while receiving additional high quality LO specific metadata without the need for manual metadata creation efforts.
Keywords :
Internet; computer aided instruction; meta data; Internet; SCORM learning objects; automatic metadata generation tools; contextual metadata; educational purposes; knowledge requirements; time requirements; Data mining; Ecosystems; Electronic mail; Humans; Information retrieval; Information science; Least squares approximation; Standards publication; Technology management; Testing; Algorithms; Experimentation; Reliability; Verification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Ecosystems and Technologies, 2009. DEST '09. 3rd IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-2345-3
Electronic_ISBN :
978-1-4244-2346-0
Type :
conf
DOI :
10.1109/DEST.2009.5276729
Filename :
5276729
Link To Document :
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