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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/120356

    Title: LEARNING ANALYTICS: Approaches and cases from Asia
    Authors: Chen, Bodong;Chen, Chih-Ming;Hong, Huang-Yao;Chai, Ching Sing
    Chen, Chih-Ming
    Contributors: 圖檔所
    Date: 2018
    Issue Date: 2018-10-04 12:16:37 (UTC+8)
    Abstract: Learning analytics has great potential to inform educators in making data-driven decisions at the individual, classroom, institutional, and policy levels. This chapter reviews emerging strands of learning analytics research and state-of-the-art data mining techniques applied in the field. It reports on three general technical approaches to learning analytics and provides case examples of how these have been applied by educational researchers from Asia. Specifically, the reported cases illustrate the use of lag sequential analysis for analyzing learning behaviors, social network analysis for investigating collaborative learning, and data mining techniques for understanding learning processes. We highlight the implications for education emerging from our review, and elaborate on potential areas for future research as well as on the implementation of learning analytics.
    Relation: Routledge International Handbook of Schools and Schooling in Asia, Routledge, Taylor and Francis Group, chapter 38, pp.419-432
    Data Type: book/chapter
    DOI 連結: http://dx.doi.org/10.4324/9781315694382-38
    DOI: 10.4324/9781315694382-38
    Appears in Collections:[圖書資訊與檔案學研究所] 專書/專書篇章

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