Learning activity sharing and individualized recommendation based on dynamical correlation discovery

Xiaokang Zhou, Jian Chen, Qun Jin, Timothy K. Shih

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this study, we concentrate on learning activity sharing and individualized recommendation based on dynamical user correlations, in order to support and facilitate the web-based learning process integrated with social streams. A user correlation-based learning activity model is built to demonstrate the relations among user, learning task and learning activity. Based on these, an integrated method is proposed to provide a target user with the possible learning activity as the next learning step, which is expected to enhance the learning efficiency. Finally, design of a Moodle-based prototype system is discussed.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages200-206
    Number of pages7
    Volume7558 LNCS
    DOIs
    Publication statusPublished - 2012
    Event11th International Conference on Advances in Web-Based Learning, ICWL 2012 - Sinaia
    Duration: 2012 Sep 22012 Sep 4

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7558 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other11th International Conference on Advances in Web-Based Learning, ICWL 2012
    CitySinaia
    Period12/9/212/9/4

    Fingerprint

    Recommendations
    Sharing
    Web-based Learning
    Learning
    Learning Process
    Prototype
    Target
    Demonstrate

    Keywords

    • Learning Activity
    • Learning Activity Sharing
    • Social Learning
    • Social Media
    • Social Stream

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Zhou, X., Chen, J., Jin, Q., & Shih, T. K. (2012). Learning activity sharing and individualized recommendation based on dynamical correlation discovery. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7558 LNCS, pp. 200-206). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7558 LNCS). https://doi.org/10.1007/978-3-642-33642-3_21

    Learning activity sharing and individualized recommendation based on dynamical correlation discovery. / Zhou, Xiaokang; Chen, Jian; Jin, Qun; Shih, Timothy K.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7558 LNCS 2012. p. 200-206 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7558 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Zhou, X, Chen, J, Jin, Q & Shih, TK 2012, Learning activity sharing and individualized recommendation based on dynamical correlation discovery. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7558 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7558 LNCS, pp. 200-206, 11th International Conference on Advances in Web-Based Learning, ICWL 2012, Sinaia, 12/9/2. https://doi.org/10.1007/978-3-642-33642-3_21
    Zhou X, Chen J, Jin Q, Shih TK. Learning activity sharing and individualized recommendation based on dynamical correlation discovery. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7558 LNCS. 2012. p. 200-206. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-33642-3_21
    Zhou, Xiaokang ; Chen, Jian ; Jin, Qun ; Shih, Timothy K. / Learning activity sharing and individualized recommendation based on dynamical correlation discovery. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7558 LNCS 2012. pp. 200-206 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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