Good students look back previous pages

Sachio Hirokawa

    研究成果: 書籍/レポート タイプへの寄稿会議への寄与

    1 被引用数 (Scopus)

    抄録

    Educational institutions have many expectations for the use of E-book. The top expectation is to evaluate and to improve the education system based on the accumulated learning activity log data. This paper applied machine learning to predict the learner's final score from e-Book browsing logs. The present paper evaluated the prediction performance of the good students with the final grade of 80 or more from their learning access logs. An experimental evaluation revealed that the prediction performance (accuracy) was only 64% if we use only the accessed page information. However, the accuracy was improved to 89% when consecutive browsing page transition information was used. Furthermore, it was confirmed that returning to the previous page as a feature of the highest grades student.s.

    本文言語英語
    ホスト出版物のタイトルICCE 2018 - 26th International Conference on Computers in Education, Workshop Proceedings
    編集者Lung-Hsiang Wong, Michelle Banawan, Niwat Srisawasdi, Jie Chi Yang, Ma. Mercedes T. Rodrigo, Maiga Chang, Ying-Tien Wu
    出版社Asia-Pacific Society for Computers in Education
    ページ457-466
    ページ数10
    ISBN(電子版)9789869721424
    出版ステータス出版済み - 11月 24 2018
    イベント26th International Conference on Computers in Education, ICCE 2018 - Metro Manila, フィリピン
    継続期間: 11月 26 201811月 30 2018

    出版物シリーズ

    名前ICCE 2018 - 26th International Conference on Computers in Education, Workshop Proceedings

    その他

    その他26th International Conference on Computers in Education, ICCE 2018
    国/地域フィリピン
    CityMetro Manila
    Period11/26/1811/30/18

    !!!All Science Journal Classification (ASJC) codes

    • コンピュータ サイエンス(その他)
    • コンピュータ サイエンスの応用
    • 教育

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