Abstract
During the recent years, the semantic technologysuch as ontology based representation of metadata hasinfluenced the research, in the area of educational softwarefor accessing, searching and structuring of e-learningcontents to provide personalized, adaptive and contextaware delivery of learning content. In this paper, we presentontology-based resource description metadata model whichis particularly useful for context-aware adaptive e-learningsituation. First, we mentioned some of the features to beconsidered in developing resource description ontology thenproposed an ontology called Context-aware AdaptiveLearning Resource Ontology (CALRO) that is suitable fordelivery of content according to learner contextualinformation such as learner’s learning style andcharacteristics of the learning device. Finally, we discuss theconcerned adaptation approach and its workflow behavior.
Highlights
For modeling and organizing learning resources, the current e-learning standards and platforms have not considered the importance of metadata, up to required satisfaction level to the pedagogical needs, preferences and diversity in learning device characteristics, so as to perform context-aware adaptive and personalized delivery of learning contents.In e-learning environments the content was adaptively structured to access through various learning devices, as per the device capabilities, communication channel variations and user preferences [1]
This paper presents the need of adaptation oriented resource description model and its required features and introduced the proposed Context aware Adaptive Learning Resource Ontology that makes the learning resources to index and present, based on their conceptual inter relations, which supports concept based navigation of learning contents
These three features have been considered in proposed Context aware Adaptive Learning Resource Ontology (CALRO) ontology, which acts as metadata for resource description in context aware adaptive e-learning system
Summary
For modeling and organizing learning resources, the current e-learning standards and platforms have not considered the importance of metadata, up to required satisfaction level to the pedagogical needs, preferences and diversity in learning device characteristics, so as to perform context-aware adaptive and personalized delivery of learning contents. Due to the technical diversity in the characteristics of learning devices, there is a need to organize and manage the existing learning resources to access them as per the device capabilities and pedagogical needs of e-learner. (3) Learning resources are available in different forms and characteristics (reports, books, web sites, videos, etc.) These divergences require developing a metadata that helps to organize learning resources so as to deliver suitable learning content as per the context of e-learner and to present supporting information (resources) which improves learner’s understandability and cognitive ability. We discussed the proposed adaptation approach along with its usage and workflow scenario
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