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Hyunjong Choe and Taeyoung Kim+
e-Teaching and Learning Center
Seowon University
Chungbuk, Korea
+Department of Computer Education
Korea National University of Education
Chungbuk, Korea
Learning objects along with their sequencing are being studied to support efficient
e-learning systems. They could solve the problem of costly reproduction of learning materials
for e-learning systems. The problem arising here is related to the size and complexity
of methods used to achieve the appropriate composition of learning objects in
order to generate courses with pedagogic efficiency and value. We concentrate our attention
on the adaptive and intelligent composition of learning objects. It is the main theme
of instructional design, a major concern of which is the representation and organization
of subject contents to facilitate the learning process. We believe that modeling the structure
of subject contents, i.e., contextual knowledge, in an e-learning system can help an
instructional designer to design and implement an adaptive and intelligent sequence of
learning. A metadata-based ontology is introduced for this purpose and added to the
IEEE LTSA model. Further, UML is used to design of an ontology-based educational
contents model based on IMS specifications. In this way, the proposed solution provides
a complete solution for the design and development of efficient e-learning systems.
Received July 1, 2004; revised February 1, 2005; accepted March 15, 2005.
Communicated by Robert Lewis.
*This work was supported by Korea Research Foundation Grant No. KRF-2004-002-B00249.