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Gender difference of self learning aspect, effective learning aspect and multimedia aspect towards e-learning courses in Hong Kong higher education

Hon Keung Yau*, Ka Chun Yeung

*Corresponding author for this work

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Abstract

    The purpose of this study is to identify the differences between males and females on Self Learning Aspect (SLA), Effective Learning Aspect (ELA) and Multimedia Aspect (MMA) towards e-learning courses in Hong Kong higher education. 250 questionnaires were distributed and 225 useful copies were collected. The findings show that there are no significantly difference between males and females on Self-learning Aspect (SLA), Effective Learning Aspect (ELA) and Multimedia Aspect (MMA) towards e-learning courses in Hong Kong higher education.
    Original languageEnglish
    Title of host publicationProceedings of the International MultiConference of Engineers and Computer Scientists 2019
    EditorsS. I. Ao, Oscar Castillo, Craig Douglas, David Dagan Feng, A.M. Korsunsky
    PublisherNewswood Limited
    Pages408-410
    ISBN (Print)978-988-14048-5-5
    Publication statusPublished - Mar 2019
    Event2019 International MultiConference of Engineers and Computer Scientists, IMECS 2019 - Kowloon, Hong Kong, China
    Duration: 13 Mar 201915 Mar 2019
    http://www.iaeng.org/publication/IMECS2019/

    Publication series

    NameLecture Notes in Engineering and Computer Science
    ISSN (Print)2078-0958

    Conference

    Conference2019 International MultiConference of Engineers and Computer Scientists, IMECS 2019
    PlaceHong Kong, China
    CityKowloon
    Period13/03/1915/03/19
    Internet address

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 4 - Quality Education
      SDG 4 Quality Education

    Research Keywords

    • Effective Learning Aspect
    • Hong Kong higher education
    • Multimedia Aspect
    • Self-learning Aspect

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