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  • 學位論文

以Single Rank分析方法建構英語閱讀之電腦輔助架構

Developing a Computer-Assisted Construction for English Reading via Single Rank Analysis

指導教授 : 賀嘉生
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摘要


隨著網際網路及電腦科技的進步,線上英語學習的教學方式提供了比傳統教學更多的學習輔助工具,進而讓學習者可以挑選適合本身的教學模式。而學生在學習英文時,往往查了許多與文章內關鍵概念無關的單字,如連接詞、副詞等,這種耗時的學習方式,事半功倍,辛苦而難成。 本論文事先將文章內的名詞片語萃取出來,並以Google PageRank[BriP98]為基礎,利用PageRank的概念應用到單篇文章當中,將單字視為一節點,將單字間之相關性視為一連結後進行計算,將得到的分數進行排名後成為重要的關鍵詞,並將這些重要的關鍵詞轉化為一圖形結構提供給學生進行閱讀的參考。 根據以上的圖形結構來閱讀文章,老師透過課堂利用系統加入教材使用,學生在課後也進行系統使用閱讀文章。以問卷調查的方式對於學生使用系統後是否對閱讀文章有幫助,是否使用系統之後增加字彙數量,以及是否從圖形結構的輔助閱讀對閱讀文章有效。我們從問卷分析出對於閱讀文章搭配圖形結構輔助,有效的提升學生閱讀的興趣及幫助。

並列摘要


Because of the speed development of Internet and computer science, online learning English teaching methods to provide a more tools than traditional teaching, thereby allowing learner to choose for themselves the teaching mode. When students learning English, often check a key concept in many of the article other than the word, such as adjectives, conjunctions and adverbs, this is waste time to learn, it is tough and hard for. This thesis is based on Google PageRank, use of the concept of PageRank transferred to a single article, the word as node, and the relation between the word as a link. Before extraction of noun phrase from articles within calculation to get the scores to rank the important keyphrase and transferred to a graphical structure to provide reading skill for students. Students reading English articles within a graphical structure, through the use of the teacher and students use the system to reading after school. After that, students use their experience to the way of a questionnaire survey and recommends. After the analysis we find more than 80% feel that help and interest in English reading. Students use this system reading English within a graphical structure make them reading efficiency and improve reading skills.

參考文獻


[陳惠茹03] 陳惠如, (2003), “設計對話型代理人語言協助引導認知學習”, 私立中原 大學, 中壢市, 台灣, 中華民國.
[陳勇成10] 陳勇成, (2010), “線上遊戲之卡片做為教育獎勵以提升學生學業成績-以 小學英文單字為例”, 私立中原大學未出版之碩士論文, 中壢市, 台灣, 中華民國.
[BriP98] S. Brin and L. Page. 1998. The anatomy of a large-scale hypertextual Web
search engine. Computer Networks and ISDN Systems, 30(1–7).
[CCHC Alberto J. Canas, Roger Carff, Greg Hill, Marco Carvalho, Marco

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