Hybrid System for Generating Learning Object Metadata

– 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. Keywords – learning-object metadata, user-interface for metadata generation, automatic metadata generation, lesson graph.

• Type: Conference
• Year: 2006
• Where: ICALT
• Authors: Olivier Motelet, Nelson A. Baloian
• Keywords: ICALT 2006, LOM Attributes, LOM Generation Process, Machine Learning, Metadata Generation