Goal-driven navigation for learning activities based on process optimization

Jian Chen, Haifeng Man, Qun Jin, Runhe Huang

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

    1 Citation (Scopus)

    Abstract

    This paper describes an integrated approach to provide an optimized learning process to students by analyzing the log data of learning activities and extracting their learning patterns. Our analysis results show that most of students almost always use their main learning patterns in their learning activities, and the learning achievement is affected by the learning process. Based on these findings, we try to optimize the process of learning actions using the extracted learning patterns, infer the learning goal of students, and then navigate them a personalized learning process according to the similarity of the extracted learning patterns.

    Original languageEnglish
    Title of host publicationProceedings - 2011 IEEE International Conferences on Internet of Things and Cyber, Physical and Social Computing, iThings/CPSCom 2011
    Pages389-395
    Number of pages7
    DOIs
    Publication statusPublished - 2011
    Event2011 IEEE International Conference on Internet of Things, iThings 2011 and 4th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2011 - Dalian
    Duration: 2011 Oct 192011 Oct 22

    Other

    Other2011 IEEE International Conference on Internet of Things, iThings 2011 and 4th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2011
    CityDalian
    Period11/10/1911/10/22

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    Keywords

    • Goal-driven navigation
    • Learning action sequence
    • Learning activity
    • Learning pattern
    • Learning process

    ASJC Scopus subject areas

    • Computer Networks and Communications

    Cite this

    Chen, J., Man, H., Jin, Q., & Huang, R. (2011). Goal-driven navigation for learning activities based on process optimization. In Proceedings - 2011 IEEE International Conferences on Internet of Things and Cyber, Physical and Social Computing, iThings/CPSCom 2011 (pp. 389-395). [6142257] https://doi.org/10.1109/iThings/CPSCom.2011.97