Hybrid system for generating learning object metadata

Motelet, O; Baloian N.A.; Pino J.A.

Keywords: systems, generation, trends, learning, human, graph, interfaces, lesson, intervention, resource, process, object, hybrid, current, editors, metadata, as, Materials, User, Graphical

Abstract

Generating LOM for learning material is a complex and tedious task to be manually completed. Therefore, the current trend is to automate this process. However, there are several important issues restricting this approach. First, all the necessary information for generating metadata values is not always available. Second, some LOM attributes are difficult to generate in a rational and objective manner. In order to cope with these issues, this article suggests considering human intervention in the LOM generation process supported by automatic processes: a hybrid system in which both human and computer collaborate for instantiating LOM attributes is described. In this work, a tool implementing this proposal is implemented as a feature of LessonMapper2, which is a graphical editor designed to author lessons as graphs of learning resources. © 2006 ACADEMY PUBLISHER.

Más información

Título según SCOPUS: Hybrid system for generating learning object metadata
Título de la Revista: Journal of Computers
Volumen: 2
Número: 3
Editorial: Academy Publisher
Fecha de publicación: 2007
Página de inicio: 34
Página final: 42
Idioma: eng
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84866644693&partnerID=q2rCbXpz
Notas: SCOPUS