CIFASIS 20631
CENTRO INTERNACIONAL FRANCO ARGENTINO DE CIENCIAS DE LA INFORMACION Y DE SISTEMAS
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Automatic Extraction of Learning Objects Metadata for Recommendation: A Comparative Study.
Autor/es:
TAIHÚ PIRÉ; ANA CASALI; CLAUDIA DECO; BERNARD ESPINASSE
Lugar:
La Habana
Reunión:
Congreso; XIV Congreso Internacional de Informática en la Educación InforEdu 2011.; 2011
Institución organizadora:
Ministerio de Educación Superior - Cuba
Resumen:
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In
the last decade, Internet is
used, among others things, as an educational information source. To
help in storage, classification and reuse of educational resources
appears the concept of Learning Objects (LO) in order toclassify
educational material, to provide modular units of learning with
metadata, and to improve the access and reuse of them.In
this work we analyze, on the one hand, the importance of metadata in
Learning Objects in order to obtain a personalized recommendation. On
the other hand, exploring the state of the art of automatic metadata
extraction, we analyze different software systems and we make a
comparison of these systems. Finally, we make some conclusions about
several lines of possible research work to address the problem of
lack of metadata information in LOs.
