Work in progress: Semantic metadata for learning objects evaluation

Abstract

The amount of information available in different means and media has created opportunities in all knowledge domains. In the last five years, this development has occurred with more intensity in the Web, where the amount of information has been growing exponentially. In this context, learning objects are available in repositories on the Web with different objectives, contexts, granularities, and educational values. This presents a wide range of options to the user. Due mainly to the amount of options available and the lack of qualification standards, it is difficult use keywords to select learning objects that will maximize the learning process in a particular context. A proposal to improve the learning objects selection process is proposed that uses a metadata structure and ontologies using XML and RDF schema technologies that considers qualitative criteria for learning objects. This structure will optimize the web search process and maximize the reusability of learning objects. © 2006 IEEE.