Bootstrapping an ubiquitous monitoring ecosystem for accelerating vocabulary acquisition

M. Lungu
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引用次数: 10

Abstract

Learning the vocabulary of a new language is a very slow and time consuming process which can take many years of dedicated study. Free reading is known to be important for improving vocabulary and so are optimally timed repetitions of learned concepts. However, these two have not been put together until now. This paper presents the architecture of a monitoring ecosystem of applications which tracks the reading activities of a learner and builds a model of their evolving knowledge. Based on this model it can steer their future reading and studying sessions in such a way as to accelerate the speed with which they acquire new vocabulary. The paper describes several requirements for such an ecosystem, together with a prototpye implementation, and component applications. Finally a series of open questions that highlight opportunities for future research are discussed.
引导一个无处不在的监测生态系统,以加速词汇习得
学习一门新语言的词汇是一个非常缓慢和耗时的过程,可能需要多年的专注学习。众所周知,自由阅读对提高词汇量很重要,因此对学习概念的最佳时间重复也很重要。然而,直到现在,这两者才被放在一起。本文介绍了应用程序监测生态系统的体系结构,该系统可以跟踪学习者的阅读活动,并建立他们不断发展的知识模型。基于这种模式,它可以指导他们未来的阅读和学习,以加快他们获得新词汇的速度。本文描述了这样一个生态系统的几个需求,以及原型实现和组件应用程序。最后讨论了一系列突出未来研究机会的开放性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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