Publicación:
USING DATA MINING TECHNIQUES FOR EXPLORING LEARNING OBJECT REPOSITORIES

Vista sencilla de ítem
dc.creatorALEJANDRA ANDREA SEGURA NAVARRETE
dc.creatorPEDRO GERÓNIMO CAMPOS SOTO
dc.creatorCHRISTIAN LAUTARO VIDAL CASTRO
dc.date2011
dc.date.accessioned2025-01-10T14:53:34Z
dc.date.available2025-01-10T14:53:34Z
dc.date.issued2011
dc.description.abstractPURPOSE THIS PAPER AIMS TO SHOW THE RESULTS OBTAINED FROM THE DATA MINING TECHNIQUES APPLICATION TO LEARNING OBJECTS (LO) METADATA. DESIGN/METHODOLOGY/APPROACH A GENERAL REVIEW OF THE LITERATURE WAS CARRIED OUT. THE AUTHORS GATHERED AND PRE?PROCESSED THE DATA, AND THEN ANALYZED THE RESULTS OF DATA MINING TECHNIQUES APPLIED UPON THE LO METADATA. FINDINGS IT IS POSSIBLE TO EXTRACT NEW KNOWLEDGE BASED ON LEARNING OBJECTS STORED IN REPOSITORIES. FOR EXAMPLE IT IS POSSIBLE TO IDENTIFY DISTINCTIVE FEATURES AND GROUP LEARNING OBJECTS ACCORDING TO THEM. SEMANTIC RELATIONSHIPS CAN ALSO BE FOUND AMONG THE ATTRIBUTES THAT DESCRIBE LEARNING OBJECTS. RESEARCH LIMITATIONS/IMPLICATIONS IN THE FIRST SECTION, FOUR TEST REPOSITORIES ARE INCLUDED FOR CASE STUDY. IN THE SECOND SECTION, THE ANALYSIS IS FOCUSED ON THE MOST COMPLETE REPOSITORY FROM THE PEDAGOGICAL POINT OF VIEW. ORIGINALITY/VALUE MANY PUBLICATIONS REPORT RESULTS OF ANALYSIS ON REPOSITORIES MAINLY FOCUSED ON THE NUMBER, EVOLUTION AND GROWTH OF THE LEARNING OBJECTS. BUT, THERE IS A SHORTAGE OF RESEARCH USING DATA MINING TECHNIQUES ORIENTED TO EXTRACT NEW SEMANTIC KNOWLEDGE BASED ON LEARNING OBJECTS METADATA.
dc.formatapplication/pdf
dc.identifier.doi10.1108/02640471111125140
dc.identifier.issn1758-616X
dc.identifier.issn0264-0473
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/9432
dc.languagespa
dc.publisherELECTRONIC LIBRARY
dc.relation.uri10.1108/02640471111125140
dc.rightsPUBLICADA
dc.titleUSING DATA MINING TECHNIQUES FOR EXPLORING LEARNING OBJECT REPOSITORIES
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE SISTEMAS DE INFORMACION
ubb.Otra ReparticionDEPARTAMENTO DE SISTEMAS DE INFORMACION
ubb.Otra ReparticionDEPARTAMENTO DE SISTEMAS DE INFORMACION
ubb.SedeCONCEPCIÓN
ubb.SedeCONCEPCIÓN
ubb.SedeCONCEPCIÓN
Archivos
Colecciones
Artículos científicos