Customizable Learning Objects Metadata Authoring

Metadata is an important aspect in learning resource discovery, reuse of learning resources, within-collection organization of learning resources, retrieval of non-textual media, and interoperability among learning resources. This paper presents an analysis of the challenges in metadata creation field and defines a framework for customizable metadata authoring. Also it presents the CLOMAT prototype (Customizable Learning Objects Metadata Authoring Tool) which was build as a proof-of-concept for the framework presented in this paper. The research concludes with the evaluation results of the prototype. In particular, the paper explores issues associated with the application of standards, the properties of the learning objects, the needs of the users involved in the creation of metadata, the problems that arise in practice. These issues help to characterize the problem space of metadata creation and to explore the possibilities for improvement. As research integrating different technology aspects of metadata management is till in its infancy, I consider this and similar work as early framework for learning object metadata creation and management. These frameworks form the basis for more detailed app oaches to follow.