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