外语学习者对语法描述的理解取决于描述的类型、熟练程度和语境

IF 0.6 4区 文学 0 LANGUAGE & LINGUISTICS
Daniel Jach
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引用次数: 0

摘要

大多数基于用法的研究都强调在自然环境中隐式的、输入驱动的学习的重要性,但最近的研究采用了基于用法的语法描述来指导课堂学习。这些描述旨在吸引学习者有意识地注意输入中的相关用法模式,从而支持输入。这些研究大多比较基于用法的描述和其他类型的描述的效率,而很少关注学习者理解和应用这些描述的方式。本研究考察了外语学习者对目标结构基于用法的语法描述的理解情况。在实验强迫选择任务中,中国德语学习者接受基于用法的案例结构描述,然后在不同的语境中对目标实例进行分类。多元回归分析表明,描述类型与目标语言熟练程度、目标语义语境和词汇语境的相互作用影响了描述选择。这是从注意和范畴形成的角度来讨论的。本研究认为学习者能够将语法描述作为一种辅助模型来识别和分类目标模式。因此,这些描述使学习者意识到内隐学习的机制,并帮助他们利用这些机制进行外显学习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What foreign language learners make of grammatical descriptions depends on description type, proficiency, and context
Abstract Most usage-based research emphasizes the importance of implicit, input-driven learning in naturalistic environments, but recent studies have adopted usage-based grammatical descriptions for instructed learning in classrooms. These descriptions are intended to draw learners’ deliberate attention to relevant usage patterns in the input and thereby support intake. Most of these studies compare usage-based descriptions to other types of descriptions for their efficiency, while little attention has been paid to the ways in which learners understand and apply such descriptions. This study examines what foreign language learners understand of usage-based grammatical descriptions of target structures. In an experimental forced choice task, Chinese learners of German received usage-based descriptions of case structures and then classified target instances in variable contexts. A multivariate regression analysis indicated that choices were influenced by interactions of the type of description with participants’ target-language proficiency and the semantic and lexical target contexts. This is discussed in terms of noticing and category formation. This study argues that learners are able to use grammatical descriptions as some kind of auxiliary model for recognizing and categorizing target patterns. The descriptions thus make learners aware of the mechanisms underlying implicit learning and help them exploit these mechanisms for explicit learning.
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来源期刊
CiteScore
1.30
自引率
14.30%
发文量
16
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