Programming Supersivion Environment to optimize motivation and cost with portfolios
| Project/Area Number |
24501224
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Educational technology
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| Research Institution | Ritsumeikan University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
HARADA Fumiko 立命館大学, 情報理工学部, 講師 (30454515)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2012: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | ポートフォリオ / NMF / 動機づけ要因 / 学習方略 / 機械学習 / マイニング / 学習上のふるまい / 意欲 / 理解度 / ソースコード / プログラミング / プログラミング教育 |
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| Outline of Final Research Achievements |
In this research, we have established a method to improve motivation of learners quantitatively within allowable supervision costs, aiming at making whole students in a class willingly engage in programming exercises. In the method, we divid whole students in a class into a small number of clusters, each of which is a group of students similar with each other in terms of motivation factors. To make each cluster willingly engage in programming, we select educational services stimulating motivation factors of each cluster. We have confirmed a specific combination of educational services is effective to motivate whole students in a class.
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Report
(4 results)
Research Products
(24 results)
