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    政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 >  Item 140.119/75983
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/75983


    Title: Using grounded theory and text mining to find interesting reading materials for slow EFL learners
    Authors: Lin, Y.-C.;Hsu, C.-L.;Lin, Mu-Hua;Yang, Hsiao-Fang;Hong, C.-F.
    楊筱芳
    Contributors: 資管系
    Keywords: EFL learners;extensive reading;free voluntary reading;Grounded theory;interesting reading materials;Text mining;Human computer interaction;Knowledge management;Teaching;Materials
    Date: 2011
    Issue Date: 2015-06-22 13:20:59 (UTC+8)
    Abstract: Many reasons contribute to slow EFL learners. Of all the reasons which cause slow EFL learners, reading materials not appealing to learners tend to be the one to blame. In order to help teachers to find out interesting reading materials for slow EFL learners in Taiwan, this study intends to use Grounded Theory [8] and Text Mining to search for the reading materials which are appealing to slow EFL learners in Taiwan. Based on the approaches of free voluntary reading proposed by Krashen [10], and extensive reading advocated by Day and Bamford [7], the theoretical framework of this study is established. Krashen claimed that when students read for information, pleasure or problem-solving, they have acquired the essence of free voluntary reading. Day and Bamford [7] argued that extensive reading is an important way to reinforce the concept of learning to read by reading. Both of these two reading approaches put emphasis on learners' free choice of reading materials which are within their linguistic proficiency, and at the same time, are interesting to them. Eighty-three university students are the participants, who took the second-year English reading course in a summer session program in Taiwan. They failed the course in regular semesters. This is their second- or third-time taking the same course. We call them slow learners accordingly. By the employment of Grounded Theory and Text Mining, it is expected that the interesting reading materials can be discovered and provided for teachers to adopt in their instruction in classes, and to a certain extent, learners' attention to reading passages can be drawn. © 2011 Springer-Verlag.
    Relation: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 6764 LNCS, Issue PART 4, 2011, Pages 77-85, 14th International Conference on Human-Computer Interaction, HCI International 2011; Orlando, FL; United States; 9 July 2011 到 14 July 2011; 代碼 85433
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1007/978-3-642-21619-0_11
    DOI: 10.1007/978-3-642-21619-0_11
    Appears in Collections:[資訊管理學系] 會議論文

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