ノト マサト   Noto Masato
  能登 正人
   所属   神奈川大学  情報学部 システム数理学科
    神奈川大学大学院  工学研究科 工学専攻(電気電子情報工学領域)
   職種   教授
言語種別 英語
発行・発表の年月 2010/10
形態種別 学術雑誌
査読 査読あり
標題 Improvement of the Modified Low-First Method for Iterative Learning
執筆形態 共著
掲載誌名 Proc. of The 2010 IEEE International Conference on Systems, Man, and Cybernetics
掲載区分国外
巻・号・頁 pp.540-545
著者・共著者 M. Numazawa, H. Iwama, S. Kanauchi, M. Noto
概要 In this research, we tried out some extensions which improve the presentation spacing between study sessions with respect to the Modified Low-First Method and also prevent unnecessary iterations, to present the study materials efficiently in long-term iterative learning, and have tested and verified their effects. We add three extensions to create an effective and efficient learning method for use during repeats of iterative learning by the Modified Low-First Method: "Extension 1: The initial item presentation sequence is in accordance with the item exclusion sequence of the previous study session", "Extension 2: Items recalled at the first presentation are excluded at that point" and "Extension 3: Items that had been excluded before the study was interrupted are presented once immediately after the study is resumed".