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
Analysis of Effective Resource Allocation to Teachers for Educational Policy by Agent-Based Simulation

Katsuhiro Yano, Takashi Yamada, Atsushi Yoshikawa, Takao Terano
2017 Transactions of Japanese Society for Information and Systems in Education  
This paper makes comparisons between two educational policies, teacher allocation and teacher retraining, to see which works better to improve academic skills of students. For this purpose, an agent-based simulation model with student agents and the teacher agents is proposed. The student agents are based on academic achievement model and learning theory whereas the teacher agents have three parameters in terms of teaching skills. The main results are as follows: First, increase in experienced
more » ... eachers is helpful for the students with low academic achievement. Second, teacher retraining policy improves academic achievement of the high-leveled students.
doi:10.14926/jsise.34.302 fatcat:2jirqjvwefhgxg2nac5iyxtpk4