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タイトル: A Picture-Book Recommender System for Extensive Reading on an E-Book System
著者: Nishioka, Chifumi  KAKEN_id
Fujita, Sanae
Hattori, Takashi
Kobayashi, Tessei
Naya, Futoshi
Ogata, Hiroaki
著者名の別形: 西岡, 千文
緒方, 広明
キーワード: recommender system
language learning
e-book
learning analytics
extensive reading
発行日: Mar-2020
出版者: Society for Learning Analytics Research (SoLAR)
誌名: Companion Proceedings 10th International Conference on Learning Analytics & Knowledge (LAK'20)
開始ページ: 690
終了ページ: 692
抄録: In this paper, we demonstrate a picture-book recommender system to promote extensive reading in English. Extensive reading refers to the independent reading of a large quantity of material for information or pleasure and is known to be effective for acquisition of a second language. The recommender system is implemented on an e-book system that shows digital learning materials (e.g., textbooks and slides) on student’s device. Activities on the e-book system are recorded as learning logs. The recommender system suggests picture books in English based on contents of English textbooks. Specifically, we implement two recommendation strategies: (1) term-based recommendation and (2) grammar-based recommendation. In the future, we use learning logs and loan records of picture books to investigate the influence of picture books on acquisition of English and to enable personalized recommendations for each student.
著作権等: This work is published under the terms of the Creative Commons Attribution- Noncommercial-ShareAlike 3.0 Australia Licence.
URI: http://hdl.handle.net/2433/259237
関連リンク: https://www.solaresearch.org/wp-content/uploads/2020/06/LAK20_Companion_Proceedings.pdf
出現コレクション:学術雑誌掲載論文等

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