Automated lecture template generation in CORDRA-based learning object repository

Neil Y. Yen, Timothy K. Shih, Qun Jin, Li Chieh Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationAdvances in Web-Based Learning, ICWL 2011 - 10th International Conference, Proceedings
Number of pages10
StatePublished - 2011
Event10th International Conference on Advances in Web-Based Learning, ICWL 2011 - Hong Kong, China
Duration: 8 Dec 201110 Dec 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7048 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference10th International Conference on Advances in Web-Based Learning, ICWL 2011
CityHong Kong


  • Intelligent Mining Algorithm
  • Knowledge Network
  • Lecture Template
  • Ranking
  • Searching


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