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題名 Forecasting reading anxiety for promoting English-language reading performance based on reading annotation behavior
作者 陳志銘
陳勇汀
Chen, Chih Ming
Wang, Jung Ying
Chen, Yong-Ting
Wu, Jhih Hao
吳志豪
貢獻者 圖檔所
關鍵詞 intelligent tutoring systems, collaborative learning, interactive learning environments, teaching strategies, reading anxiety
日期 2016-05
上傳時間 23-Aug-2017 11:35:43 (UTC+8)
摘要 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.
關聯 Interactive Learning Environments, 24(4), 681-705
資料類型 article
DOI http://dx.doi.org/10.1080/10494820.2014.917107
dc.contributor 圖檔所-
dc.creator (作者) 陳志銘zh_TW
dc.creator (作者) 陳勇汀zh_TW
dc.creator (作者) Chen, Chih Mingen_US
dc.creator (作者) Wang, Jung Yingen_US
dc.creator (作者) Chen, Yong-Tingen_US
dc.creator (作者) Wu, Jhih Haoen_US
dc.creator (作者) 吳志豪zh_TW
dc.date (日期) 2016-05-
dc.date.accessioned 23-Aug-2017 11:35:43 (UTC+8)-
dc.date.available 23-Aug-2017 11:35:43 (UTC+8)-
dc.date.issued (上傳時間) 23-Aug-2017 11:35:43 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/112125-
dc.description.abstract (摘要) 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.-
dc.format.extent 110 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Interactive Learning Environments, 24(4), 681-705-
dc.subject (關鍵詞) intelligent tutoring systems, collaborative learning, interactive learning environments, teaching strategies, reading anxiety-
dc.title (題名) Forecasting reading anxiety for promoting English-language reading performance based on reading annotation behavioren_US
dc.type (資料類型) article-
dc.identifier.doi (DOI) 10.1080/10494820.2014.917107-
dc.doi.uri (DOI) http://dx.doi.org/10.1080/10494820.2014.917107-