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An Intelligent Mobile Application to Facilitate the Exploratory and Personalized Learning of Chinese on Smartphones

机译:智能手机应用程序促进中文智能手机的探索性和个性化学习

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摘要

There are increasing interests to learn Chinese all over the world due to the fast economic growth of China. Intrinsically, learning Chinese is challenging to most foreigners and Chinese students as well due to the complex structures of Chinese Characters, the writing of characters in correct stroke sequences, and their appropriate usage and pronunciation, etc. Even with the guidance of an experienced Chinese teacher, there is often insufficient time to practise the writing or pronunciation during classes. However, mobile devices such as the Android-based smartphones, iPads or iPhones may open up numerous opportunities facilitated by the latest interface and sensing technologies for students to learn anytime and anywhere. Therefore, we propose here an extendible and intelligent mobile application namely the Intelligent Chinese Explorer (iCExplorer) based on learning objects and fully utilizing the smart sensors including the GPS, touch and image/video sensors of smartphones to facilitate foreigners or Chinese students to learn Chinese more effectively. In particular, we have designed an intelligent algorithm to aid all learners in writing Chinese characters with the correct stroke sequences. To demonstrate the feasibility of our proposal, a prototype of our proposed mobile application was successfully built on the iOS platform for a thorough evaluation with a detailed plan. Furthermore, there are many interesting directions for the future investigations of our proposal.
机译:由于中国经济的快速增长,在世界范围内学习汉语的兴趣与日俱增。本质上,由于复杂的汉字结构,按正确的笔画顺序书写汉字,正确的用法和发音等,对大多数外国人和中国学生来说,学习汉语也是一个挑战。即使在经验丰富的汉语老师的指导下,通常在课堂上没有足够的时间练习写作或发音。但是,基于Android的智能手机,iPad或iPhone等移动设备可能会为最新的界面和传感技术带来许多机会,使学生可以随时随地学习。因此,我们在这里提出了一个可扩展的智能移动应用程序,即基于学习对象并充分利用智能传感器(包括GPS,智能手机的触摸和图像/视频传感器)的智能中文资源管理器(iCExplorer),以方便外国人或中国学生学习中文。更有效。特别是,我们设计了一种智能算法,可以帮助所有学习者以正确的笔画顺序书写汉字。为了证明我们提议的可行性,我们成功地在iOS平台上构建了我们提议的移动应用程序的原型,以进行详细评估和详细计划。此外,对于我们的提案的未来研究,还有许多有趣的方向。

著录项

  • 作者

    Luo N; Tam VWL;

  • 作者单位
  • 年度 2014
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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