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題名 Enhancement of English Learning Performance by Using an Attention-based Diagnosing and Review Mechanism in Paper-based Learning Context with Digital-Pen Support
作者 陳志銘
Chen, Chih-Ming
Wang, Jung-Ying
Lin, Mi
貢獻者 圖檔所
關鍵詞 Brainwave signals ; Digital pen ; English learning ; Attention recognition ; Attention-based diagnosing and review mechanism
日期 2019-03
上傳時間 17-Oct-2017 15:51:45 (UTC+8)
摘要 Since English is probably the most popular second language, helping students learn English through technology is a critical issue in non-English-speaking countries. With the growth of digital pen technologies, developing an interactive learning environment that combines printed textbooks and a digital pen to support English-language classroom learning has become feasible. This work presents an attention-based diagnosing and review mechanism (ADRM) based on brainwave detection to help learners identify the passages with low attention level in a lesson as review targets in order to perform efficiently and accurately review processes while reading paper-based English texts with digital pen support in autonomous learning environments. Based on the true experimental design, this work aims to confirm whether the ADRM improves the review performance and sustained attention of learners while reading paper-based English texts with digital pen support. The research participants were a total of 108 students at an industrial vocational high school in Taipei City, Taiwan. All research participants were male and aged from 17 to 18 years. The experimental group used the ADRM while reading paper-based English texts with digital pen support, whereas the control group used the autonomous review while reading paper-based English texts with digital pen support. Experimental results reveal that the review performance of the experimental group was significantly better than that of the control group, proving that the ADRM improved review performance. The results also show that the field-dependent learners in the experimental group exhibited a great improvement in review performance in comparison with the field-independent learners. Additionally, the low-ability learners in the experimental group exhibited better review performance compared to those in the control group. Furthermore, learners with high attention level in the experimental group have exhibited better review performance and sustained attention than the learners in the control group. This work confirms that developing an ADRM based on brainwave detection to assist learners’ review processes is practicable. However, the usability and acceptability of using ADRM instead of human autonomous review should be further considered in the information society.
關聯 Universal Access in the Information Society, Vol.18, No.1, pp.141-153
資料類型 article
DOI https://doi.org/10.1007/s10209-017-0576-2
dc.contributor 圖檔所zh_TW
dc.creator (作者) 陳志銘zh_TW
dc.creator (作者) Chen, Chih-Mingen_US
dc.creator (作者) Wang, Jung-Yingen_US
dc.creator (作者) Lin, Mien_US
dc.date (日期) 2019-03-
dc.date.accessioned 17-Oct-2017 15:51:45 (UTC+8)-
dc.date.available 17-Oct-2017 15:51:45 (UTC+8)-
dc.date.issued (上傳時間) 17-Oct-2017 15:51:45 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/113713-
dc.description.abstract (摘要) Since English is probably the most popular second language, helping students learn English through technology is a critical issue in non-English-speaking countries. With the growth of digital pen technologies, developing an interactive learning environment that combines printed textbooks and a digital pen to support English-language classroom learning has become feasible. This work presents an attention-based diagnosing and review mechanism (ADRM) based on brainwave detection to help learners identify the passages with low attention level in a lesson as review targets in order to perform efficiently and accurately review processes while reading paper-based English texts with digital pen support in autonomous learning environments. Based on the true experimental design, this work aims to confirm whether the ADRM improves the review performance and sustained attention of learners while reading paper-based English texts with digital pen support. The research participants were a total of 108 students at an industrial vocational high school in Taipei City, Taiwan. All research participants were male and aged from 17 to 18 years. The experimental group used the ADRM while reading paper-based English texts with digital pen support, whereas the control group used the autonomous review while reading paper-based English texts with digital pen support. Experimental results reveal that the review performance of the experimental group was significantly better than that of the control group, proving that the ADRM improved review performance. The results also show that the field-dependent learners in the experimental group exhibited a great improvement in review performance in comparison with the field-independent learners. Additionally, the low-ability learners in the experimental group exhibited better review performance compared to those in the control group. Furthermore, learners with high attention level in the experimental group have exhibited better review performance and sustained attention than the learners in the control group. This work confirms that developing an ADRM based on brainwave detection to assist learners’ review processes is practicable. However, the usability and acceptability of using ADRM instead of human autonomous review should be further considered in the information society.en_US
dc.format.extent 1315137 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Universal Access in the Information Society, Vol.18, No.1, pp.141-153zh_TW
dc.subject (關鍵詞) Brainwave signals ; Digital pen ; English learning ; Attention recognition ; Attention-based diagnosing and review mechanismen_US
dc.title (題名) Enhancement of English Learning Performance by Using an Attention-based Diagnosing and Review Mechanism in Paper-based Learning Context with Digital-Pen Supportzh_TW
dc.type (資料類型) article-
dc.identifier.doi (DOI) 10.1007/s10209-017-0576-2-
dc.doi.uri (DOI) https://doi.org/10.1007/s10209-017-0576-2-