Current learning standards (e.g. IEEE LOM, IMS, SCORM, CanCore) trying to adopt Semantic Web technologies to conquer web-based learning contexts. In this paper we propose a methodology for developing learning ontologies, and discuss the role of the Semantic Web in educational or learning systems. We also provide a brief overview of learning ontology, its need, development tools and process. In ...

This paper discusses an Australian project where online learning materials with problem-based learning designs are being developed in a form which facilitates their inclusion in digital repositories and learning management systems. To that end the products are being developed as properly formed SCORM compliant IMS content packages. This paper discusses issues associated with the design of onlin...

Current e-learning standards have been designed to provide reusability of educational contents and interoperability between systems. Besides these features, content personalization is also necessary, although current standards do not fully support it. In this paper, the ADL SCORM (Sharable Content Object Reference Model) adaptation possibilities are studied and an extension to this standard is ...

Learning style can be regarded as the product of a student’s learning. It is important to explore how students conduct individualized learning with their unique learning style in the ever-changing e-learning environment The main purpose of this paper is to investigate the learning effect under different adaptive instructional strategies based on the sequencing rule of SCORM 1.3. The study desig...

The work is mainly focused on the description of an original scheme for information representation in e-learning applications, where three levels are used to describe course related knowledge: content level, symbolic level, and conceptual level bridging the previous ones. Moreover, an integrated architecture design is proposed to support the presented model. The reference scenario is the develo...

We introduce an ontology-based semantic modelling framework that addresses subject domain modelling, instruction modelling, and interoperability aspects in the development of complex reusable learning objects. Ontologies are knowledge representation frameworks, ideally suited to support knowledge-based modelling of these learning objects. We illustrate the benefits of semantic modelling for lea...