Discovery of action patterns and user correlations in task-oriented processesfor goal-driven learning recommendation

Xiaokang Zhou, Jian Chen, Bo Wu, Qun Jin

    Research output: Contribution to journalArticle

    6 Citations (Scopus)

    Abstract

    With the high development of social networks, collaborations in a socialized web-based learning environment has become increasing important, which means people can learn through interactions and collaborations in communities across social networks. In this study, in order to support the enhanced collaborative learning, two important factors, user behavior patterns and user correlations, are taken into account to facilitate the information and knowledge sharing in a task-oriented learning process. Following a hierarchical graph model for enhanced collaborative learning within a task-oriented learning process, which describes relations of learning actions, activities, sub-tasks and tasks in communities, the learning action pattern and Goal-driven Learning Group, as well as their formal definitions and related algorithms, are introduced to extract and analyze users' learning behaviors in both personal and cooperative ways. In addition, a User Networking Model, which is used to represent the dynamical user relationships, is proposed to calculate user correlations in accordance with their interactions in a social community. Based on these, an integrated mechanism is developed to utilize both user behavior patterns and user correlations for the recommendation of individualized learning actions. The system architecture is described finally, and the experiment results are presented and discussed to demonstrate the practicability and usefulness of our methods.

    Original languageEnglish
    Article number6701380
    Pages (from-to)231-245
    Number of pages15
    JournalIEEE Transactions on Learning Technologies
    Volume7
    Issue number3
    DOIs
    Publication statusPublished - 2014 Jul 1

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    learning
    behavior pattern
    learning process
    social network
    Experiments
    community
    learning behavior
    interaction
    networking
    learning environment
    experiment
    knowledge
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    Keywords

    • Collaborative learning
    • Enhanced social learning
    • Learning action recommendation
    • Learning pattern
    • Learning task
    • User correlation

    ASJC Scopus subject areas

    • Engineering(all)
    • Computer Science Applications
    • Education

    Cite this

    Discovery of action patterns and user correlations in task-oriented processesfor goal-driven learning recommendation. / Zhou, Xiaokang; Chen, Jian; Wu, Bo; Jin, Qun.

    In: IEEE Transactions on Learning Technologies, Vol. 7, No. 3, 6701380, 01.07.2014, p. 231-245.

    Research output: Contribution to journalArticle

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