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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 |
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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". |