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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/112125
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/112125

    Title: Forecasting reading anxiety for promoting English-language reading performance based on reading annotation behavior
    Authors: 陳志銘
    Chen, Chih Ming
    Wang, Jung Ying
    Chen, Yong-Ting
    Wu, Jhih Hao
    Contributors: 圖檔所
    Keywords: intelligent tutoring systems, collaborative learning, interactive learning environments, teaching strategies, reading anxiety
    Date: 2016-05
    Issue Date: 2017-08-23 11:35:43 (UTC+8)
    Abstract: To reduce effectively the reading anxiety of learners while reading English articles, a C4.5 decision tree, a widely used data mining technique, was used to develop a personalized reading anxiety prediction model (PRAPM) based on individual learners' reading annotation behavior in a collaborative digital reading annotation system (CDRAS). In addition to forecasting immediately the reading anxiety levels of learners, the proposed PRAPM can be used to identify the key factors that cause reading anxiety based on the fired prediction rules determined by the developed decision tree. By understanding these key factors that cause reading anxiety, instructors can apply reading strategies to reduce reading anxiety, thus promoting English-language reading performance. To assess whether the proposed PRAPM can assist instructors in reducing the reading anxiety of learners, this study applies the quasi-experimental method to compare the learning performance of three learning groups, which are, respectively, supported by a CDRAS with individual annotations, collaborative annotations, and collaborative annotations with online instructor's support to reduce reading anxiety by the proposed PRAPM. The instructional experiment was conducted on Grade 7 students at Taipei Municipal Wan-Fang high school. Experimental results indicate that the average correct prediction rate of the proposed PRAPM in identifying the reading anxiety levels of learners was as high as 70%. Moreover, analytical results show that the collaborative annotation with online instructor's support for reducing reading anxiety by the proposed PRAPM indeed helps learners reduce reading anxiety, particularly for the male learners, showing that gender difference exists. Furthermore, based on online instructor's support for reducing reading anxiety by the proposed PRAPM, the correlation analysis also shows that the online instructor's interaction with the male learners is significantly correlated with the reading anxiety reduction. Furthermore, English-language learning performance of the three learners groups, which were given a CDRAS with different learning mechanisms, was significantly promoted.
    Relation: Interactive Learning Environments, 24(4), 681-705
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1080/10494820.2014.917107
    DOI: 10.1080/10494820.2014.917107
    Appears in Collections:[資訊管理學系] 期刊論文

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