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タイトル
和文:エージェントベースシミュレーションによる教員配置施策に関する研究 
英文: 
著者
和文: 神澤篤啓, 山田隆志, 山本学, 吉川厚, 寺野隆雄.  
英文: Atsuhiro Kanzawa, Takashi YAMADA, Gaku Yamamoto, atsushi yoshikawa, Takao Terano.  
言語 Japanese 
掲載誌/書名
和文:第10回MASコンペティション予稿集 
英文: 
巻, 号, ページ        
出版年月 2010年3月5日 
出版者
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会議名称
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開催地
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公式リンク http://mas.kke.co.jp/modules/tinyd3/index.php?id=12
 
アブストラクト Recently, it became an attractive topic to make a prior assessment for the education policies. We propose an agent-based modeling in order to evaluate an educational policy, which is to determine the number of teachers necessary in educational system. The proposed model focuses on improvements in the academic achievements of each individual as well as an age-group as a whole. As a result of this study, major findings are, 1) the effective strategy for the below-average students is to raise the ratio of teachers placed in the compulsory education; and 2) the effective strategy for excellent students is to reduce the ratio of teachers placed in the primary education.

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