待ち行列モデルを用いた学生の学習過程における課題分割手法の影響分析―スタディスキル修得を目指して―
待ち行列モデルを用いた学生の学習過程における課題分割手法の影響分析―スタディスキル修得を目指して―
カテゴリ: 論文誌(論文単位)
グループ名: 【C】電子・情報・システム部門
発行日: 2019/01/01
タイトル(英語): Effect Analysis of Task Partitioning Method in the Student's Task Processing Process Using Queuing Models ~Toward Acquiring Study Skills~
著者名: 鈴木 一輝(愛知県立大学 大学院 情報科学研究科),奥田 隆史(愛知県立大学 情報科学部 情報科学科)
著者名(英語): Kazuki Suzuki (Graduate School of Information Science and Technology, Aichi Prefectural University), Takashi Okuda (Department of Information Science and Technology, Faculty of Information Science and Technology, Aichi Prefectural University)
キーワード: スタディスキル,課題分割手法,待ち行列モデル study skills,task partitioning method,queuing models
要約(英語): In Japan, university students have an obligation to enhance the quality of learning at the university. Because learning at high school and learning at university are qualitatively different. Therefore, university students must transition from a passive learning style of subjective learning style. In order to acquire these basic forces, “Study Skills” are attracting attention in Japan. In this research, we focus on the “Task Partitioning Method” (Method of partitioning and processing tasks) which is one of the study skills. It is said that the time required for the processing of tasks can generally be shortened by using the task partitioning method. However, it is not clear how to see how to use the task partitioning method.Therefore, in this research we clarify how to use the task partitioning method through analyzing the queuing models. In this research, tasks are assigned to the student by teachers and we assume the student processes the tasks. This process (The Students Task Processing Process) is regarded as a queuing models. We analyzed this queuing models by simulation and examined the influence of various task partitioning methods on task processing time and amount of task processing. We present graphs and knowledge which were obtained by the performance evaluation of the models to the university student and give them a chance to learn how to study.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.139 No.1 (2019) 特集:電子回路関連技術
本誌掲載ページ: 119-125 p
原稿種別: 論文/日本語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/139/1/139_119/_article/-char/ja/
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