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    Chapter 38 Learning Analytics

    Proposal review

    Approaches and cases from Asia

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    Author(s)
    Hong, Huang- Yao
    Sing Chai, Ching
    Chen, Chih-Ming
    Chen, Bodong
    Language
    English
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    Abstract
    In this chapter, we present an overview of the field by articulating definitions and existing models of learning analytics. Case examples of learning analytics from Asian researchers are then summarized and reported. This is followed by an exploration of the key tensions in this field. The chapter concludes with a discussion of potential areas for future research in this area.
    Book
    Routledge International Handbook of Schools and Schooling in Asia
    URI
    http://library.oapen.org/handle/20.500.12657/30191
    Keywords
    articulating definitions; case examples; models; asia; research; learning analytics; articulating definitions; case examples; models; asia; research; learning analytics; Centrality; Data mining; Educational technology; IBM Systems Network Architecture; Social network
    ISBN
    9781315694382
    OCN
    1038395646
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2018
    Imprint
    Routledge
    Classification
    Education
    Pages
    16
    Public remark
    Relevant Wikipedia pages: Centrality - https://en.wikipedia.org/wiki/Centrality; Data mining - https://en.wikipedia.org/wiki/Data_mining; Educational technology - https://en.wikipedia.org/wiki/Educational_technology; IBM Systems Network Architecture - https://en.wikipedia.org/wiki/IBM_Systems_Network_Architecture; Learning analytics - https://en.wikipedia.org/wiki/Learning_analytics; Social network - https://en.wikipedia.org/wiki/Social_network; 3-8-2020 - No DOI registered in CrossRef for ISBN 9781138908499
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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