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Chinese Students’ Motivations to Adopt E-Learning

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Innovative Technologies and Learning (ICITL 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12555))

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Abstract

Culture influences how students give meanings to, and engage with, e-learning. Since the predominance of research draws on models construed with values from the Western world they risk lacking congruence with other contexts. This study aims to identify the motives of students in Chinese culture towards e-learning and explain how these predict behavior. I use a form of laddering to identify students’ motives and associating organizing schema. Results show 37 motives draw students towards while 31 push them away from e-learning. The analysis reveals that students are drawn towards the temporal spatial benefits of e-learning. They, however they feel debilitated and lack a sense of mo-qi with both their classmates and the teacher. These results point towards a different conceptualization of e-learning motivations than seen so far in the literature.

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Author information

Authors and Affiliations

  1. Department of Business Administration, National Changhua University of Education, Changhua, Taiwan R.O.C.

    James O. Stanworth

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  1. James O. Stanworth
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Correspondence to James O. Stanworth .

Editor information

Editors and Affiliations

  1. National Taichung University of Science and Technology, Taichung City, Taiwan

    Tien-Chi Huang

  2. National Yunlin University of Science and Technology, Douliou, Taiwan

    Ting-Ting Wu

  3. University of Trás-os-Montes and Alto Douro, Vila Real, Portugal

    João Barroso

  4. Oslo Metropolitan University, Oslo, Norway

    Frode Eika Sandnes

  5. University of Trás-os-Montes and Alto Douro, Vila Real, Portugal

    Paulo Martins

  6. National Cheng Kung University, Tainan City, Taiwan

    Yueh-Min Huang

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Stanworth, J.O. (2020). Chinese Students’ Motivations to Adopt E-Learning. In: Huang, TC., Wu, TT., Barroso, J., Sandnes, F.E., Martins, P., Huang, YM. (eds) Innovative Technologies and Learning. ICITL 2020. Lecture Notes in Computer Science(), vol 12555. Springer, Cham. https://doi.org/10.1007/978-3-030-63885-6_57

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  • DOI: https://doi.org/10.1007/978-3-030-63885-6_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63884-9

  • Online ISBN: 978-3-030-63885-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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