A Study on Support System for Teaching Japanese WWW Readingq-Focusing on the Diversity of JFL Learners

日语WWW阅读教学支持系统研究——以JFL学习者的多样性为中心

• 批准号: 17520347
• 负责人: YOSHIMURA Yumiko
• 金额: $ 2.32万
• 依托单位: Toyohashi University of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2005
• 资助国家: 日本
• 起止时间: 2005 至 2007
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17520347/
• 关键词: JFL; WWW; teaching materials for reading; kanii level; vocabulary level; search engine; genre; category; 検索工ンジン; 絞り込み; 読解教育

The purpose of this study is to develop a support system for teaching Japanese WWW reading in response to the diversity of Japanese language learners. In concrete, our system cares the kanji level, the vocabulary level and the genre when a teacher searches WWW texts by keywords.As for the kanji level, we applied the kanji levels of Japanese language proficiency test. When a 'ricer selects a level of kanji from one to four, the system narrows the texts down that level: the kanji content of the higher level is less than 20 per cent. The vocabulary levels of Japanese language proficiency test were enhanced for the vocabulary treatment. Choosing a level of vocabulary from one to four, the system limits the texts of the chosen level of vocabulary: the percentage of vocabulary of the higher level is less than 20. Our system developed the genres as follows: history, place-name, animate beings, art, literature, people, politics, terms. Furthermore each genre has its own categories. When a user selects a genre, the system shows the texts of that genre grouping by its own categories.The problem to be solved is to review the adequacy of the genre. Also in the aspect of technology, downloadable system is needed, which will make the system more secured and customized to individual users.

本研究的目的是针对日语学习者的多样性，开发日语 WWW 阅读教学的支持系统。具体来说，当老师通过关键词搜索WWW文本时，我们的系统关心汉字级别、词汇级别和体裁。对于汉字级别，我们应用了日语能力测试的汉字级别。当“ricer”选择从一到四的汉字级别时，系统会缩小该级别的文本范围：较高级别的汉字含量低于 20%。通过词汇处理，提高了日语能力测试的词汇水平。选择从一到四的词汇级别，系统限制所选词汇级别的文本：较高级别的词汇百分比小于20。我们的系统开发的体裁如下：历史、地名、生物、艺术、文学、人物、政治、术语。此外，每个流派都有自己的类别。当用户选择一种体裁时，系统会按其自己的类别分组显示该体裁的文本。要解决的问题是审查该体裁的适当性。另外在技术方面，需要可下载的系统，这将使系统更加安全并针对个人用户进行定制。