淡江大學機構典藏:Item 987654321/28296
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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/28296


    Title: Bootstrapping in a language learning environment
    Authors: 衛友賢;Wible, David-scott;Kuo, Chin-hwa;Tsao, Nai-lung;Liu, Anne;Lin, Hsiu-ling
    Contributors: 淡江大學英文學系
    Keywords: Affordance;Bootstrapping;CALL;Corpus;Interlanguage;Knowledge-based;Secondary;Undergraduate;World-wide web
    Date: 2003-03
    Issue Date: 2010-01-07 10:02:18 (UTC+8)
    Publisher: Wiley-Blackwell
    Abstract: This paper addresses a fundamental dilemma in the design of intelligent language learning environments: the more freedom a system offers to learners in the use of the target language, the more unwieldy the data is which the learners produce and the less able the system is to support inferences about learners from that data. It is shown how in a platform where learners and teachers interact, the teachers' feedback which is archived in the system and indexed to the learners' target language production can constitute affordances that support a process of bootstrapping from raw language output to potential insights into the learners' interlanguage and gaps in their grasp of the target language. The approach is illustrated with three types of learner errors uncovered in the corpus of learner English through this bootstrapping heuristic.
    Relation: Journal of computer assisted learning 19(1), pp.90-102
    DOI: 10.1046/j.0266-4909.2002.00009.x
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article
    [Graduate Institute & Department of English] Journal Article

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