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How Hybrid Is Referred, Inferred and Preferred?

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Hybrid Learning and Continuing Education (ICHL 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8038))

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Abstract

Conventional definition of hybrid learning has been criticised as sketchy and confusing. This paper critically reviews the literature on hybrid learning and attempts to offer an overview of the state of art in the understanding of the notion of hybrid learning through a meta-analysis of relevant studies. What hybrid learning refers to will be analysed by examining its denotative and connotative senses. Through investigation of the components of the notion, the core and associated elements in the meaning of hybrid learning will be analyzed. Since several terms have been used as synonyms of hybrid learning, their currency and suitability will also be examined.

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Author information

Authors and Affiliations

  1. The Open University of Hong Kong, 30 Good Shepherd Street, Kowloon, Hong Kong

    Kam Cheong Li & Simon K. S. Cheung

Authors
  1. Kam Cheong Li
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  2. Simon K. S. Cheung
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Editor information

Editors and Affiliations

  1. The Open University of Hong Kong, Good Shepherd Street, Homantin, Kowloon, Hong Kong

    Simon K. S. Cheung

  2. Computer Science Department, City University of Hong Kong, Hong Kong

    Joseph Fong

  3. School of Continuing Studies, University of Toronto, Canada

    Wilfred Fong

  4. Deaprtment of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

  5. Department of Computer Science, College of Science and Engineering, City University of Hong Kong, Hong Kong, China

    Lam For Kwok

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© 2013 Springer-Verlag Berlin Heidelberg

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Li, K.C., Cheung, S.K.S. (2013). How Hybrid Is Referred, Inferred and Preferred?. In: Cheung, S.K.S., Fong, J., Fong, W., Wang, F.L., Kwok, L.F. (eds) Hybrid Learning and Continuing Education. ICHL 2013. Lecture Notes in Computer Science, vol 8038. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39750-9_32

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  • DOI: https://doi.org/10.1007/978-3-642-39750-9_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39749-3

  • Online ISBN: 978-3-642-39750-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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