A STUDY ON ANALYSIS AND DESIGN OF METADATA MODEL FOR INTELLIGENT TUTORING SYSTEM

Emerging social network services along with increased user participation necessitate diverse changes in e-learning systems. To support the changes effectively, the standardization of metadata plays a key role in that metadata is the agreement for interoperability among different and diverse systems. Up to now, lots of efforts have been paid for the standardization by domestic and international organizations. However, adopting the diverse changes into the design of e-learning metadata is still challenging. To mitigate the issue, this paper a) proposes a methodology for analysis and modeling of e-learning metadata, b) elicits the design requirements of the elements required in future e-learning systems, using the metadata standard KEM 3.0, and c) presents the three-layer model to classify the requirements by the importance of metadata elements per Kano Model. Based on a), b), and c), it is expected that an intelligent elearning system is to be developed while effectively supporting diverse changes, which, in turn, would influence the development of an international standard in the future.