Blended learning support with social media empowered by ubiquitous personal study

Xiaokang Zhou, Haifeng Man, Hong Chen, Yan Wu, Qun Jin

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

    Abstract

    In this study, learning support in a blended learning environment integrated with social media is concentrated on. A method is proposed to integrate the S-UPS (Socialized Ubiquitous Personal Study), which is utilized to collect and manage social stream data, into a blended learning system so as to combine the best aspects of both face-to-face and online instructions for the improvement of learning efficiency and enrichment of learning experience. Based on these, an empirical study is conducted to show the feasibility and effectiveness of our proposed method. Experimental evaluation analysis of the system reveals the enhancement of learning process in the blended learning environment.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    PublisherSpringer Verlag
    Pages130-139
    Number of pages10
    Volume7697 LNCS
    ISBN (Print)9783662434536
    DOIs
    Publication statusPublished - 2014
    Event2012 International Workshops on Web-Based Learning, ICWL 2012 - KMEL, SciLearn, and CCSTED - 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)
    Volume7697 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other2012 International Workshops on Web-Based Learning, ICWL 2012 - KMEL, SciLearn, and CCSTED
    CitySinaia
    Period12/9/212/9/4

    Fingerprint

    Blended Learning
    Social Media
    Learning systems
    Learning Environment
    Learning Systems
    Data Streams
    Learning Process
    Experimental Evaluation
    Empirical Study
    Enhancement
    Integrate
    Learning

    Keywords

    • Blended Learning
    • Social Learning
    • Social Media
    • Social Stream

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Zhou, X., Man, H., Chen, H., Wu, Y., & Jin, Q. (2014). Blended learning support with social media empowered by ubiquitous personal study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7697 LNCS, pp. 130-139). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7697 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-662-43454-3_14

    Blended learning support with social media empowered by ubiquitous personal study. / Zhou, Xiaokang; Man, Haifeng; Chen, Hong; Wu, Yan; Jin, Qun.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7697 LNCS Springer Verlag, 2014. p. 130-139 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7697 LNCS).

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

    Zhou, X, Man, H, Chen, H, Wu, Y & Jin, Q 2014, Blended learning support with social media empowered by ubiquitous personal study. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7697 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7697 LNCS, Springer Verlag, pp. 130-139, 2012 International Workshops on Web-Based Learning, ICWL 2012 - KMEL, SciLearn, and CCSTED, Sinaia, 12/9/2. https://doi.org/10.1007/978-3-662-43454-3_14
    Zhou X, Man H, Chen H, Wu Y, Jin Q. Blended learning support with social media empowered by ubiquitous personal study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7697 LNCS. Springer Verlag. 2014. p. 130-139. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-662-43454-3_14
    Zhou, Xiaokang ; Man, Haifeng ; Chen, Hong ; Wu, Yan ; Jin, Qun. / Blended learning support with social media empowered by ubiquitous personal study. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7697 LNCS Springer Verlag, 2014. pp. 130-139 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
    @inproceedings{901a647a45af47798296e08b724d6ef7,
    title = "Blended learning support with social media empowered by ubiquitous personal study",
    abstract = "In this study, learning support in a blended learning environment integrated with social media is concentrated on. A method is proposed to integrate the S-UPS (Socialized Ubiquitous Personal Study), which is utilized to collect and manage social stream data, into a blended learning system so as to combine the best aspects of both face-to-face and online instructions for the improvement of learning efficiency and enrichment of learning experience. Based on these, an empirical study is conducted to show the feasibility and effectiveness of our proposed method. Experimental evaluation analysis of the system reveals the enhancement of learning process in the blended learning environment.",
    keywords = "Blended Learning, Social Learning, Social Media, Social Stream",
    author = "Xiaokang Zhou and Haifeng Man and Hong Chen and Yan Wu and Qun Jin",
    year = "2014",
    doi = "10.1007/978-3-662-43454-3_14",
    language = "English",
    isbn = "9783662434536",
    volume = "7697 LNCS",
    series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
    publisher = "Springer Verlag",
    pages = "130--139",
    booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

    }

    TY - GEN

    T1 - Blended learning support with social media empowered by ubiquitous personal study

    AU - Zhou, Xiaokang

    AU - Man, Haifeng

    AU - Chen, Hong

    AU - Wu, Yan

    AU - Jin, Qun

    PY - 2014

    Y1 - 2014

    N2 - In this study, learning support in a blended learning environment integrated with social media is concentrated on. A method is proposed to integrate the S-UPS (Socialized Ubiquitous Personal Study), which is utilized to collect and manage social stream data, into a blended learning system so as to combine the best aspects of both face-to-face and online instructions for the improvement of learning efficiency and enrichment of learning experience. Based on these, an empirical study is conducted to show the feasibility and effectiveness of our proposed method. Experimental evaluation analysis of the system reveals the enhancement of learning process in the blended learning environment.

    AB - In this study, learning support in a blended learning environment integrated with social media is concentrated on. A method is proposed to integrate the S-UPS (Socialized Ubiquitous Personal Study), which is utilized to collect and manage social stream data, into a blended learning system so as to combine the best aspects of both face-to-face and online instructions for the improvement of learning efficiency and enrichment of learning experience. Based on these, an empirical study is conducted to show the feasibility and effectiveness of our proposed method. Experimental evaluation analysis of the system reveals the enhancement of learning process in the blended learning environment.

    KW - Blended Learning

    KW - Social Learning

    KW - Social Media

    KW - Social Stream

    UR - http://www.scopus.com/inward/record.url?scp=84901379988&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84901379988&partnerID=8YFLogxK

    U2 - 10.1007/978-3-662-43454-3_14

    DO - 10.1007/978-3-662-43454-3_14

    M3 - Conference contribution

    SN - 9783662434536

    VL - 7697 LNCS

    T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    SP - 130

    EP - 139

    BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    PB - Springer Verlag

    ER -