Customizable Learning Objects Metadata Authoring Tool | Spring 2003
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 the metadata creation field and defines a framework for customizable metadata authoring. It also presents the CLOMAT prototype (Customizable Learning Objects Metadata Authoring Tool) which was built 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, and 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 still in its
infancy, I consider this and similar work as an early framework for learning object
metadata creation and management. These frameworks form the basis for more detailed
approaches to follow. Master Thesis in pdf
