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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/107651


    Title: The influences of cognitive styles on individual learning and collaborative learning
    Authors: 陳攸華;Chen, Sherry Y.;Chang, Li-Ping
    Contributors: 資訊電機學院網路學習科技研究所
    Keywords: Bias;Cognitive Style;cognitive styles;Collaboration;Collaborative learning;Cooperative Learning;Educational Technology;Fads;Foreign Countries;Graduate Students;Handheld Devices;Independent Study;individual learning;Learning;Pretests Posttests;Prior Learning;Questionnaires;Student Centered Learning;Student Characteristics;Students;Taiwan;Teaching Methods;Telecommunications;Worksheets
    Date: 2016-07-03
    Issue Date: 2026-04-23 14:20:47 (UTC+8)
    Publisher: London: Routledge
    Abstract: 摘要: Both individual learning (IL) and collaborative learning (CL) provide students with different benefits. However, previous research indicates that cognitive styles affect students' learning preferences. Thus, it is necessary to examine how cognitive styles influence students' reactions to IL and CL. Among various cognitive styles, Pask's Holist/Serialist biases have recently received considerable attention. Accordingly, the current study aims to illuminate how Holists and Seriailsts react to IL and CL. Subsequent results indicate heterogeneous groups with both Holists and Serialists obtain the best learning performance when undertaking CL. Furthermore, the findings suggest that there is a need to provide Serialists with additional support, regardless of either IL or CL.
    出版者: London: Routledge
    出版日期: 2016-07-03
    出處: Innovations in education and teaching international, 2016-07, Vol.53 (4), p.458-471
    資源來源: Taylor & Francis Journals Auto-Holdings Collection
    版權: 2014 Informa UK Limited, trading as Taylor & Francis Group 2014
    版權: Copyright Taylor & Francis Inc. 2016
    識別號: ISSN: 1470-3297
    識別號: EISSN: 1470-3300
    識別號: DOI: 10.1080/14703297.2014.931242
    識別號: CODEN: IETIF4
    Appears in Collections:[Graduate Institute of Network Learning Technology] journal & Dissertation

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