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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/105728

    Title: A design of English learning target recommender mechanism
    Other Titles: 英語學習標的推薦機制設計
    Authors: 季振忠;Chi, Chen-Chung
    Contributors: 淡江大學資訊工程學系博士班
    Keywords: 餘弦相似度;文章推薦系統;文件可讀性;Cosine similarity;Article recommender system;Document readability
    Date: 2015
    Issue Date: 2016-01-22 15:03:44 (UTC+8)
    Abstract: 對於許多以英語為第二學習語言的學習者而言,藉由閱讀英文文章或聽英文歌曲,不失為可以精通英語閱讀與聽力的語言學習方法。然而,在學習的過程中,總是要經過許多次的嘗試,才能找到既符合自己的興趣,又能符合自己英語字彙能力的歌曲或英文文章等學習標的。
    有鑑於目前「數位原生世代」學習者,相較於「數位原生世代」學習者,更愛用3 C(電腦、通訊、消費型電子)產品與社群網路服務的特性,本研究所設計的學習標的推薦系統,為了要迎合這些數位原生世代學習者的學習需求,亦結合YouTube與Facebook等強大的社群網路服務,並引入IWill這個以高中生為主的英語學習平台中的學習者資料,以學習者語料庫分群的機制,嘗試分析這個學習族群的字彙能力,據以提供更精確的推薦。
    For many EFL (English as Foreign Language) learners, reading English articles or listening to music has always been a good way to improve their English proficiency. However, it’s always not easy to find appropriate learning target for fulfill learners’ interest and vocabulary ability.
    Nowadays most learners are “digital natives.” Compared to the characteristics the “digital immigrants”, the “digital natives” are used to using 3C (computers, communications, and consumers) products. Therefore this approach tries to develop a learning target recommender system that combine powerful social network – Youtube and Facebook, and import learner corpus – IWill (an English learners’ learning platform), tries to clustering the vocabulary characteristic this corpus to find out learners’ vocabulary using trend, therefore recommend appropriate learning target for learners.
    Two parts have been implemented in this approach. The first part is to describe the vocabulary difficulty filtering mechanism, and then use it to choose and recommend appropriate learning target for English learners; The second part is applied this mechanism to recommend music video via mobile device or web browser, the design of the proposed recommend system has focused on the study of correlation word of Verb-Noun, let learners can learning by watch dynamic displaying lyrics sentence by sentence, and listen music audio at the same time; This proposed system fetching worth learning collocation words by calculating mutual information of corpus, and then provide a practice tool for improve both reading and listening skill.
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Thesis

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