Adaptation oriented "resource" modeling for course-based E-learning environment

Abstract

During the recent years, the semantic technology such as ontology based representation of metadata has influenced the research, in the area of educational software for accessing, searching and structuring of e-learning contents to provide personalized, adaptive and context aware delivery of learning content. In this paper, we present ontology-based resource description metadata model which is particularly useful for context-aware adaptive e-learning situation. First, we mentioned some of the features to be considered in developing resource description ontology then proposed an ontology called Context-aware Adaptive Learning Resource Ontology (CALRO) that is suitable for delivery of content according to learner contextual information such as learner's learning style and characteristics of the learning device. Finally, we discuss the concerned adaptation approach and its workflow behavior.