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  1. 組織別
  2. オープンサイエンス基盤研究センター
  3. 2017

Adaptive recommendation of teaching materials based on free descriptions in MOOC course

https://doi.org/10.20736/0000001358
529e47e9-93fc-4136-80a6-5d69fe3427a9
名前 / ファイル ライセンス アクション
2017_MAF_001.pdf 2017_MAF_001.pdf (192.7 kB)
(C)2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Item type 会議発表論文 / Conference Paper_02(1)
公開日 2020-12-22
タイトル
言語 en
タイトル Adaptive recommendation of teaching materials based on free descriptions in MOOC course
言語
言語 eng
資源タイプ
資源 http://purl.org/coar/resource_type/c_5794
タイプ conference paper
ID登録
ID登録 10.20736/0000001358
ID登録タイプ JaLC
著者 古川, 雅子

× 古川, 雅子

WEKO 3550

古川, 雅子

ja-Kana フルカワ, マサコ

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山地, 一禎

× 山地, 一禎

WEKO 3551

山地, 一禎

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FURUKAWA, Masako

× FURUKAWA, Masako

WEKO 2529
YAGINUMA Yoshitomo

en FURUKAWA, Masako

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抄録
内容記述タイプ Abstract
内容記述 National Institute of Informatics released a basic course for learning programming by MOOC. In the MOOC course, it is important to support learners according to their levels and needs. In this paper, we propose adaptive recommendation of teaching materials based on free descriptions in the course. For this purpose, we visualize free descriptions in the course, and clarify the differences between learners. This will be a help to recommend supplementary teaching materials suitable for the learners.
言語 en
書誌情報 6th International Conference on Learning Technologies and Learning Environments (IIAI AAI 2017 [LTLE2017])
en : 6th International Conference on Learning Technologies and Learning Environments (IIAI AAI 2017 [LTLE2017])

p. 1008-1009, 発行日 2017-07-01
出版者
言語 en
出版者 IEEE
関連サイト
関連識別子
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/IIAI-AAI.2017.176
関連名称
関連名称 https://doi.org/10.1109/IIAI-AAI.2017.176
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