Issues in Automatic Learning Object Indexation
Henk Olivié, KULeuven, Belgium ; Kris Cardinaels, K.U.Leuven, Belgium ; Erik Duval, KULeuven, Belgium
EdMedia + Innovate Learning, in Denver, Colorado, USA ISBN 978-1-880094-45-7 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Acquiring a critical mass of pedagogical elements is a condition sine qua non for reuse. One of the main obstacles to attain a large amount of documents is the difficulty in creating associated metadata. Accurate metadata contain a considerable number of attributes. Assigning correct values toeach of these attributes is a tedious task and few users arewilling to invest considerable time to do this. Automatic indexation of learning objects could solve this problem. Furthermore, it could help to create more consistent metadata. In this paper, we discuss several issues for the development of an automated indexation system for IEEE LTSC Learning Object Metadata.
Olivié, H., Cardinaels, K. & Duval, E. (2002). Issues in Automatic Learning Object Indexation. In P. Barker & S. Rebelsky (Eds.), Proceedings of ED-MEDIA 2002--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 239-240). Denver, Colorado, USA: Association for the Advancement of Computing in Education (AACE).
© 2002 Association for the Advancement of Computing in Education (AACE)