Japan Advanced Institute of Science and Technology

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    16775 research outputs found

    脅威データベースのマッピングを用いた脆弱性検証補助システム

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    supervisor: BEURAN, Razvan Florin先端科学技術研究科修士(情報科学

    学習者の感受性と動画提示手法の対応関係の調査

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    Supervisor: 長谷川 忍先端科学技術研究科修士(知識科学

    Veil-off Party:トラブルだらけのキックオフパーティによる役割分担支援

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    2012年,中央教育審議会にてアクティブラーニングの導入が提言されたことにより,大学教育の場でグループワークが多く実施されている.しかしながら,その中で,学習効果が向上しない事例が発生している.その1 要因として,役割を指定しなかったり適切に割り振れていなかったりすることによって協力しない人が発生し,それらの存在が学習効果を低下させていることが指摘されている.本研究では,グループワークにおける役割の割り振りを判断するための材料を取得することを支援する手法の実現を目指す.具体的には,グループワーク実施前にしばしば行われる親睦会としてのキックオフパーティでトラブルを発生させることにより個々人の行動特性をあぶり出し,役割決定のための判断材料とする手法を提案する.本稿では,提案手法が役割決定にどのような影響を及ぼすのか,満足度の高いグループワーク実施に繋がるのかについて,実験によって調査した結果を報告する.In 2012, the Central Council for Education proposed the introduction of active learning, and group work has been widely implemented in university education. However, there have been some cases where learning effects have not been improved. One of the reasons for this is that the lack of designation or appropriate assignment of roles causes people not to cooperate: these people reduces the effectiveness of learning. This study aims to develop a method to support the acquisition of materials for judging the assignment of roles in group work. Specifically, we propose a method to reveal individual behavioral characteristics by causing troubles at a kick-off party that is often held as a social gathering before group work, and used them as materials for determining the roles of participants. In this paper, we report the results of experiments to investigate the influence of the proposed method on role decision making and whether it leads to highly satisfactory group work

    ポストコロナ時代の観光の新しい姿

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    金属-半導体界面層あるいは絶縁体-半導体界面層を用いたAlGaN/GaNデバイスの閾値電圧制御

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    Supervisor: 鈴木 寿一先端科学技術研究科博

    Can We Infer Move Sequences in Go from Stone Arrangements?

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    Inference commonly happens in our daily lives and is also a hot topic for AI research. In this paper, we infer move sequences in Go, i.e., the order in which moves are played, from stone arrangements on the board.We formulate the problem as likelihood maximization and employ a general optimization algorithm, simulated annealing, to solve it. Our experiments on professional and amateur games show that the proposed approach sometimes produces more natural move sequences than those played by humans.18th International Conference on Advances in Computer Games (ACG 2023), Virtual Event, November 28–30, 202

    地域共創における総合建設業の役割と事業プロセスの考察

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