Item type |
SIG Technical Reports(1) |
公開日 |
2018-03-13 |
タイトル |
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タイトル |
Learning what students want to learn |
タイトル |
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言語 |
en |
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タイトル |
Learning what students want to learn |
言語 |
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言語 |
eng |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
著者所属 |
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Graduate School of Informatics, Kyoto University |
著者所属 |
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Academic Center for Computing and Media studies, Kyoto University |
著者所属 |
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Academic Center for Computing and Media studies, Kyoto University |
著者所属(英) |
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en |
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Graduate School of Informatics, Kyoto University |
著者所属(英) |
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en |
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Academic Center for Computing and Media studies, Kyoto University |
著者所属(英) |
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en |
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Academic Center for Computing and Media studies, Kyoto University |
著者名 |
Victoria, Abou-Khalil
Brendan, Flanagan
Hiroaki, Ogata
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著者名(英) |
Victoria, Abou-Khalil
Brendan, Flanagan
Hiroaki, Ogata
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論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
Polysemous words are words that have different meanings in different contexts. This type of word is confusing for language students. In order to be able to provide the language learners with the right translation in the right context, it is important to understand the meaning intended by the student. This paper proposes a method to predict the meaning intended by the student based on students' past learned words, current location and time. The method proposed uses records from the SCROLL system (System for Capturing and Reminding Of Learning Log) to analyze the activity of students. We assume that the uploaded vocabulary of a student can be used to predict the meaning intended by the student when looking up a polysemous word. The identification of the intended meaning in the student's current context could be then used to provide the student with the appropriate translation possibly improving the learning. |
論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
Polysemous words are words that have different meanings in different contexts. This type of word is confusing for language students. In order to be able to provide the language learners with the right translation in the right context, it is important to understand the meaning intended by the student. This paper proposes a method to predict the meaning intended by the student based on students' past learned words, current location and time. The method proposed uses records from the SCROLL system (System for Capturing and Reminding Of Learning Log) to analyze the activity of students. We assume that the uploaded vocabulary of a student can be used to predict the meaning intended by the student when looking up a polysemous word. The identification of the intended meaning in the student's current context could be then used to provide the student with the appropriate translation possibly improving the learning. |
書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA12496725 |
書誌情報 |
研究報告教育学習支援情報システム(CLE)
巻 2018-CLE-24,
号 13,
p. 1-6,
発行日 2018-03-13
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ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8620 |
Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |