水産・海洋技術学習支援システムのテキストマイニングを用いた評価の分析と改善点の探索
水産・海洋技術学習支援システムのテキストマイニングを用いた評価の分析と改善点の探索
カテゴリ: 論文誌(論文単位)
グループ名: 【D】産業応用部門
発行日: 2021/02/01
タイトル(英語): Evaluation and Search for Points to be Improved in the Fisheries and Marine Skill Learning Support System Using Text Mining
著者名: 加藤 司(沖縄水産高等学校/琉球大学),長山 格(琉球大学),玉城 史朗(琉球大学)
著者名(英語): Tsukasa Kato (Okinawa Fisheries High School/University of the Ryukyus), Itaru Nagayama (University of the Ryukyus), Shiro Tamaki (University of the Ryukyus)
キーワード: テキストマイニング,水産・海洋技術学習支援システム,改善点,水産高校_x000D_ text mining,fisheries and marine skill learning support system,the points to be improved,fisheries high school
要約(英語): We developed a fishery and marine skill learning support system as a self-training teaching material. In this study, we evaluated the usefulness of the proposed system by using text mining and searched for the points to be improved in this system. Using this system, we conducted a survey among the students of a fisheries high school using an evaluation sheet with free-form answering. From the results, we extracted five points, namely “learning method using this system”, “video operation and technology confirmation”, “promotion of understanding by this system”, “skill learning at home”, and “fun to learn fisheries skills”. Among these five points, “promotion of understanding by this system”, in which an understanding of the skill is promoted through explanations of skill and skill videos, was evaluated positively. It was also found that a review is effective in utilizing this system. As a point to be improved, it was found that narration should be provided along with the presentation of the subtitles.
本誌: 電気学会論文誌D(産業応用部門誌) Vol.141 No.2 (2021) 特集:ドローンとロボット組み込み/サスティナブルシステム
本誌掲載ページ: 161-167 p
原稿種別: 論文/日本語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejias/141/2/141_161/_article/-char/ja/
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