Construction of Decision-making Model considering Explicit and Implicit Element for Improvement of Individual Education

2014 Fiscal Year Final Research Report

• Project/Area Number: 24700909
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Educational technology
• Research Institution: Aoyama Gakuin University
• Principal Investigator: AZUMA Rumiko 青山学院大学, 社会情報学部, 助教 (80550102)
• Research Collaborator: NOZAKI Shinya 琉球大学, 工学部, 准教授 (00390568) ; SAOTOME Rie 琉球大学大学院, 理工学研究科 ; MIYAZATO Tomoki 琉球大学, 工学部, 助教 (00010898)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: 教育改善 / 多変量解析 / 意思決定モデル / AHP

Outline of Final Research Achievements

In this study, we proposed the decision-making method that is able to judge some weak point of individual student in subject objectively. Our proposed method enables to decide the point which should instruct it intensively by using qualitative data and quantitative data : evaluation questionnaire of the understanding degree and scor of quiz. The analysis of the qualitative data were applied the absolute evaluation AHP quantifiable human subjective judgment.
On the other hand, in the analysis of quantitative data, we extracted implicit factors using principal component analysis (PCA) from data of whether they took how much scores in any quiz. Moreover, the evaluation of the student's current situation was be able to get more accurately by proposing the method for obtaining comprehensive evaluation in both factors.

Free Research Field

意思決定論