Associative recommendation of learning contents aided by eye-tracking in a social media enhanced environment

Guangyu Piao, Xiaokang Zhou, Qun Jin

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

    Abstract

    In this paper, an approach to presenting the learning resources, especially those existing user-generated contents associated with learners’ activities, as the recommendation to satisfy their current requirements in a social media enhanced learning system, is proposed. Users’ attentions are caught and analyzed from the browsing behaviors of learners on a webpage through an eye-tracking device.

    Original languageEnglish
    Title of host publicationLecture Notes in Electrical Engineering
    PublisherSpringer Verlag
    Pages493-501
    Number of pages9
    Volume331
    ISBN (Print)9789401796170
    DOIs
    Publication statusPublished - 2015
    Event2nd FTRA International Conference on Ubiquitous Computing Application and Wireless Sensor Network, UCAWSN 2014 -
    Duration: 2014 Jul 72014 Jul 10

    Publication series

    NameLecture Notes in Electrical Engineering
    Volume331
    ISSN (Print)18761100
    ISSN (Electronic)18761119

    Other

    Other2nd FTRA International Conference on Ubiquitous Computing Application and Wireless Sensor Network, UCAWSN 2014
    Period14/7/714/7/10

    Fingerprint

    Learning systems

    Keywords

    • Associative recommendation
    • Browsing behavior
    • Eye-tracking
    • Social media

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering

    Cite this

    Piao, G., Zhou, X., & Jin, Q. (2015). Associative recommendation of learning contents aided by eye-tracking in a social media enhanced environment. In Lecture Notes in Electrical Engineering (Vol. 331, pp. 493-501). (Lecture Notes in Electrical Engineering; Vol. 331). Springer Verlag. https://doi.org/10.1007/978-94-017-9618-7_49

    Associative recommendation of learning contents aided by eye-tracking in a social media enhanced environment. / Piao, Guangyu; Zhou, Xiaokang; Jin, Qun.

    Lecture Notes in Electrical Engineering. Vol. 331 Springer Verlag, 2015. p. 493-501 (Lecture Notes in Electrical Engineering; Vol. 331).

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

    Piao, G, Zhou, X & Jin, Q 2015, Associative recommendation of learning contents aided by eye-tracking in a social media enhanced environment. in Lecture Notes in Electrical Engineering. vol. 331, Lecture Notes in Electrical Engineering, vol. 331, Springer Verlag, pp. 493-501, 2nd FTRA International Conference on Ubiquitous Computing Application and Wireless Sensor Network, UCAWSN 2014, 14/7/7. https://doi.org/10.1007/978-94-017-9618-7_49
    Piao G, Zhou X, Jin Q. Associative recommendation of learning contents aided by eye-tracking in a social media enhanced environment. In Lecture Notes in Electrical Engineering. Vol. 331. Springer Verlag. 2015. p. 493-501. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-94-017-9618-7_49
    Piao, Guangyu ; Zhou, Xiaokang ; Jin, Qun. / Associative recommendation of learning contents aided by eye-tracking in a social media enhanced environment. Lecture Notes in Electrical Engineering. Vol. 331 Springer Verlag, 2015. pp. 493-501 (Lecture Notes in Electrical Engineering).
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