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Title
Japanese:エージェント・ベース・シミュレーションを用いた教員への資源配分による施策効果分析 
English: 
Author
Japanese: 矢野雄大, 山田隆志, 吉川厚, 寺野隆雄.  
English: Katsuhiro Yano, Takashi YAMADA, atsushi yoshikawa, Takao Terano.  
Language Japanese 
Journal/Book name
Japanese:第3回社会システム部会研究会 資料 
English: 
Volume, Number, Page Vol. 3        pp. 43-50
Published date Feb. 28, 2013 
Publisher
Japanese:計測自動制御学会 
English: 
Conference name
Japanese:第3回社会システム部会研究会 
English: 
Conference site
Japanese:岩手県 
English: 
Official URL http://www.socsys.org/symposium003/
 
Abstract The aim of this paper is to give comparative analysis of effect of two educational policies: teacher allocation policy and teacher retraining policy. For this aim, we propose agent-based simulation model with student agent and teacher agent. Student agent is taken into account academic achievement model and learning theory. Teacher agent has three parameters as teaching skills. Our computational experiments obtain the following two results: The one is that additional placement of experienced teachers has an effect on students with low academic achievement. The other is that teacher retraining policy improves academic achievement of students with high level.

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