Automated lecture template generation in CORDRA-Based learning object repository

Authors:
Neil Y. Yen;Timothy K. Shih;Qun Jin;Li-Chieh Lin
Affiliations:
Dept. of Human Informatics & Cognitive Sciences, Waseda University, Japan;Dept. of Computer Science & Information Engineering, National Central University, Taiwan;Dept. of Human Informatics & Cognitive Sciences, Waseda University, Japan;Digital Education Institute, Institute for Information Industry, Taiwan
Venue:
ICWL'11 Proceedings of the 10th international conference on Advances in Web-Based Learning
Year:
2011

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Abstract

Sharing resources and information on Internet has become an important activity for education. The MINE Registry, a branch of distributed repository, inherited the architecture of CORDRA has been developed for storing and sharing Learning Objects. Following the usage experiences, especially those being utilized to generate the lecture, the interaction structure is defined to clarify the relationships among Learning Objects. The methods to social network analysis are applied to quantify the implicit correlations and to evaluate the interdependency. In addition, an intelligent mining algorithm is proposed to explore the developed interaction structure and automatically generates lecture templates corresponding to the query criteria. The concentration of this study is to facilitate the complex and time-consuming process of creating lectures through a simple search mechanism. The implemented system has demonstrated the preliminary results and the feasibility are also revealed by the evaluation results.