2017年
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
教育システム情報学会誌
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- 巻
- 34
- 号
- 4
- 開始ページ
- 302
- 終了ページ
- 313
- 記述言語
- 日本語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.14926/jsise.34.302
- 出版者・発行元
- 教育システム情報学会
<p>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 teachers is helpful for the students with low academic achievement. Second, teacher retraining policy improves academic achievement of the high-leveled students.</p>
- リンク情報
- ID情報
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- DOI : 10.14926/jsise.34.302
- ISSN : 1341-4135
- J-Global ID : 201702231040533146
- CiNii Articles ID : 130006192901
- CiNii Books ID : AN10474042
- identifiers.cinii_nr_id : 9000369750044