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ファイル | 記述 | サイズ | フォーマット | |
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LAK20_cp_690.pdf | 1.53 MB | Adobe PDF | 見る/開く |
タイトル: | A Picture-Book Recommender System for Extensive Reading on an E-Book System |
著者: | Nishioka, Chifumi 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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