DocumentCode :
2831393
Title :
Discovering Learning Objects Usability Characteristics
Author :
Zapata, Alfredo ; Menendez, Victor H. ; Prieto, Manuel E.
Author_Institution :
Fac. de Educ., Univ. Autonoma de Yucatan, Merida, Mexico
fYear :
2009
fDate :
Nov. 30 2009-Dec. 2 2009
Firstpage :
1126
Lastpage :
1130
Abstract :
Metadata is the key to describe Learning Objects. Through them, we can search and reuse these resources. However, there are pedagogical and usability characteristics that metadata do not normally contain. Sources of additional information such as activity log registers in repositories can help to specify such attributes. Data mining techniques allow identifying Learning Objects usability characteristics. This paper presents the results of applying a knowledge extraction methodology to Learning Objects through the use of four data sources: metadata, pedagogical quality evaluations, user´s profiles, and log files from Learning Objects management systems.
Keywords :
data mining; learning (artificial intelligence); activity log registers; data mining; knowledge extraction; learning objects management system; learning objects usability characteristics; metadata; quality evaluations; repositories; Data mining; Electronic learning; Environmental management; Intelligent systems; Knowledge management; Ontologies; Project management; Quality management; Sorting; Usability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
Conference_Location :
Pisa
Print_ISBN :
978-1-4244-4735-0
Electronic_ISBN :
978-0-7695-3872-3
Type :
conf
DOI :
10.1109/ISDA.2009.184
Filename :
5364148
Link To Document :
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