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