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A browser-based approach to incidental individualization of vocabulary learning

机译:基于浏览器的词汇学习个体化方法

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The shift towards communicative language teaching in recent decades has created pressure towards individualized pedagogy that arises from the diversity found within any group of learners. One of the richest areas of diversity in target language needs across learners is the lexis of the various discourse communities that different learners are attempting to enter. This paper elucidates one way that the Web and the new practices that it has engendered has created possibilities for individualizing vocabulary learning in context and for doing this incidentally and in real time. We propose an approach to individualization that leverages the navigation level of the Web. This approach is illustrated with a browser-based agent that first detects collocations incidentally within the web pages that the user freely browses, and then unobtrusively offers to bring these to the learner's attention. The novel challenge for the technology was that the natural language processing techniques must perform reliably in real time, in unscripted noisy contexts. Two empirical studies are reported. One shows that the tool enhances collocation learning and the other that unrestricted learners using the tool encounter divergent sets of collocations, resulting in individualization.
机译:近几十年来,向交际语言教学的转变已经产生了向个性化教学法的压力,这种压力源于任何一组学习者内部的多样性。跨学习者的目标语言需求中最丰富的多样性领域之一是不同学习者试图进入的各种话语社区的词汇。本文阐明了一种方式,即Web及其带来的新实践为在上下文中个性化词汇学习以及偶然地和实时地进行词汇学习创造了可能性。我们提出了一种利用Web导航级别的个性化方法。通过基于浏览器的代理来说明这种方法,该代理首先检测用户自由浏览的网页内的偶然搭配,然后毫不客气地提出来吸引学习者的注意。该技术面临的新挑战是自然语言处理技术必须在无脚本的嘈杂环境中实时可靠地执行。报告了两项实证研究。一个显示该工具可增强搭配学习,另一个显示使用该工具的不受限制的学习者会遇到不同的搭配集合,从而导致个性化。

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