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 contribution

    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.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages295-304
    Number of pages10
    Volume7048 LNCS
    DOIs
    Publication statusPublished - 2011
    Event10th International Conference on Advances in Web-Based Learning, ICWL 2011 - Hong Kong
    Duration: 2011 Dec 82011 Dec 10

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7048 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other10th International Conference on Advances in Web-Based Learning, ICWL 2011
    CityHong Kong
    Period11/12/811/12/10

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    Keywords

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

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Yen, N. Y., Shih, T. K., Jin, Q., & Lin, L. C. (2011). Automated lecture template generation in CORDRA-based learning object repository. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7048 LNCS, pp. 295-304). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7048 LNCS). https://doi.org/10.1007/978-3-642-25813-8_32