Curriculum Development Support for Career Formation Utilizing Learner's Kansei Information

2017 Fiscal Year Final Research Report

• Project/Area Number: 25350309
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Educational technology
• Research Institution: Hiroshima University of Economics
• Principal Investigator: Domoto Eri 広島経済大学, 経済学部, 准教授 (00510067)
• Co-Investigator(Kenkyū-buntansha): 奥原 浩之 大阪大学, 情報科学研究科, 准教授 (40284161)
• Project Period (FY): 2013-04-01 – 2018-03-31
• Keywords: データマイニング / モデル設計 / ソフトウェア開発 / カリキュラム・教授法開発 / 教授学習支援システム

Outline of Final Research Achievements

Based on actual research research, we examined effective visualization of educational outcome and development of indicators. We also analyzed the method to measure the outcome of education in university education and link it to improvement of education as data based multiobjective optimization problem. Furthermore, it clarified whether it influences student's career formation and career decision.
With regard to the educational administration of the university, we developed in a framework of data driven type decision making based on empirical kansei time series data and not attribute time series data. Under the educational norm that provides a meaningful student life, established a decision making rule and evaluation method in university educational management to produce talented people.

Free Research Field

数理工学