The effects of learners' personality traits on m-learning

Saif DEWAN, kevin ho

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    1 Citation (Scopus)

    Abstract

    Mobile learning (m-learning) is becoming increasingly significant for educators and businesses. Prior research often examines the effectiveness of m-learning; however, it overlooks that learners with different characteristics may respond to m-learning differently. This research examines how learners with different personalities react to m-learning messages. Specifically, it uses the Myers-Briggs Type Indicator (MBTI), which is one of the most widely-used personality instruments, and uses four dichotomies, namely introversion–extroversion, sensing– intuition, thinking–feeling and judgment–perception, to describe learner personalities. We conducted a 10-week study with 217 students. We used MBTI to categorize these 217 participating learners into sixteen personality groups, and sent short text messages to their mobile devices. These messages stimulated them to access lecture materials and to participate in online class discussions. We observed how learners with different personalities responded to text messages, and confirmed that learners of different personalities showed different levels of responses to m-learning messages.
    Original languageEnglish
    Title of host publicationACIS 2013: Information systems: Transforming the Future: Proceedings of the 24th Australasian Conference on Information Systems
    EditorsProfessor Hepu Deng, Professor Craig Standing
    Place of PublicationAustralia
    PublisherRMIT University
    Pages1-10
    Number of pages10
    ISBN (Print)9780992449506
    Publication statusPublished - 2013
    EventAustralasian Conference on Information Systems: Information Systems, Transforming the Future, ACIS 2013 - RMIT University, Melbourne, Australia
    Duration: 4 Dec 20136 Dec 2013

    Conference

    ConferenceAustralasian Conference on Information Systems
    Abbreviated titleACIS 2013
    CountryAustralia
    CityMelbourne
    Period4/12/136/12/13

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    Cite this

    DEWAN, S., & ho, K. (2013). The effects of learners' personality traits on m-learning. In P. H. Deng, & P. C. Standing (Eds.), ACIS 2013: Information systems: Transforming the Future: Proceedings of the 24th Australasian Conference on Information Systems (pp. 1-10). Australia: RMIT University.
    DEWAN, Saif ; ho, kevin. / The effects of learners' personality traits on m-learning. ACIS 2013: Information systems: Transforming the Future: Proceedings of the 24th Australasian Conference on Information Systems . editor / Professor Hepu Deng ; Professor Craig Standing. Australia : RMIT University, 2013. pp. 1-10
    @inproceedings{57d88dfcaf054766a540b1dc11886059,
    title = "The effects of learners' personality traits on m-learning",
    abstract = "Mobile learning (m-learning) is becoming increasingly significant for educators and businesses. Prior research often examines the effectiveness of m-learning; however, it overlooks that learners with different characteristics may respond to m-learning differently. This research examines how learners with different personalities react to m-learning messages. Specifically, it uses the Myers-Briggs Type Indicator (MBTI), which is one of the most widely-used personality instruments, and uses four dichotomies, namely introversion–extroversion, sensing– intuition, thinking–feeling and judgment–perception, to describe learner personalities. We conducted a 10-week study with 217 students. We used MBTI to categorize these 217 participating learners into sixteen personality groups, and sent short text messages to their mobile devices. These messages stimulated them to access lecture materials and to participate in online class discussions. We observed how learners with different personalities responded to text messages, and confirmed that learners of different personalities showed different levels of responses to m-learning messages.",
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    publisher = "RMIT University",

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    DEWAN, S & ho, K 2013, The effects of learners' personality traits on m-learning. in PH Deng & PC Standing (eds), ACIS 2013: Information systems: Transforming the Future: Proceedings of the 24th Australasian Conference on Information Systems . RMIT University, Australia, pp. 1-10, Australasian Conference on Information Systems, Melbourne, Australia, 4/12/13.

    The effects of learners' personality traits on m-learning. / DEWAN, Saif; ho, kevin.

    ACIS 2013: Information systems: Transforming the Future: Proceedings of the 24th Australasian Conference on Information Systems . ed. / Professor Hepu Deng; Professor Craig Standing. Australia : RMIT University, 2013. p. 1-10.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    AB - Mobile learning (m-learning) is becoming increasingly significant for educators and businesses. Prior research often examines the effectiveness of m-learning; however, it overlooks that learners with different characteristics may respond to m-learning differently. This research examines how learners with different personalities react to m-learning messages. Specifically, it uses the Myers-Briggs Type Indicator (MBTI), which is one of the most widely-used personality instruments, and uses four dichotomies, namely introversion–extroversion, sensing– intuition, thinking–feeling and judgment–perception, to describe learner personalities. We conducted a 10-week study with 217 students. We used MBTI to categorize these 217 participating learners into sixteen personality groups, and sent short text messages to their mobile devices. These messages stimulated them to access lecture materials and to participate in online class discussions. We observed how learners with different personalities responded to text messages, and confirmed that learners of different personalities showed different levels of responses to m-learning messages.

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    DEWAN S, ho K. The effects of learners' personality traits on m-learning. In Deng PH, Standing PC, editors, ACIS 2013: Information systems: Transforming the Future: Proceedings of the 24th Australasian Conference on Information Systems . Australia: RMIT University. 2013. p. 1-10