Bootstrapping in a language learning environment

doi:10.1046/j.0266-4909.2002.00009.x

機構典藏 > College of Foreign Languages and Literature > Graduate Institute & Department of English > Journal Article > Item 987654321/28296

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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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