使用AI文字探勘調查漢字教育研究的現況──以論文要旨的分析為主

Using AI Text Mining techniques to analyze the research of teaching kanji: take the abstract as an example

日語的文字體系主要分成三大類，第一類為表意文字的漢字、第二類是表音文字的平假名以及片假名、第三類則為阿拉伯數字及羅馬拼音等。無論是對於漢字圈日語學習者還是非漢字圈日語學習者，這三大類在學習日文上皆為重要。本研究為了確認漢字圈的漢字教育研究的實際狀況，蒐集了在2000年到2021年間發表的與漢字教育相關之論文，並透過AI文字探勘技術進而分析其論文要旨，得出結果如下：(1)研究實踐對象多為不分國籍之留學生。(2)現今之漢字教育不僅只是讓學生背誦，也會和主動學習(Active Learning)或是遊戲化(Gamification)等概念結合，實踐更新穎的漢字教育。(3)不僅只是字形，在音聲方面也備受注目。(4)漢字教育教材方面則以漢字的通用性以及常用漢字表為輔助進行教學。

The Japanese language system is based on 3 main categories. the logographic Kanji, syllabic Kana and Roman alphabet and so on. In learning Japanese, these categories are all important for the learners whether he/she has Kanji backgrounds or not. To confirm the situation of teaching Kanji from Kanji backgrounds, this study collected papers related to teaching Kanji and published from 2000 to 2021, then through AI text mining techniques to analyze the abstract of these research. The result is as follows: 1. Most research subjects are students from overseas, and regardless of nationality. 2. Nowadays, teaching Kanji also combined with concepts like Active Learning or Gamification to do the new teaching Kanji. 3. Not only the figure of Kanji but also the sound has been noticed. 4. In terms of Kanji textbooks, the teaching is assisted by the generality of Kanji characters and the 'joyokanji list'.