| Project/Area Number |
24650548
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Educational technology
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| Research Institution | Tokyo Institute of Technology |
|---|
Principal Investigator |
MAEKAWA Shinichi 東京工業大学, 大学院・社会理工学研究科, 教授 (70190288)
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| Co-Investigator(Kenkyū-buntansha) |
ARAI Sayaka 独立行政法人大学入試センター, その他部局等, 助教 (00561036)
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|---|
| Project Period (FY) |
2012
|
| Project Status |
Completed (Fiscal Year 2012)
|
| Budget Amount *help |
¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2012: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 教育学習支援システム / テスト理論 / 項目反応理論 / テストの採点 |
|---|
| Research Abstract |
Item response theory (IRT) is used in many testing applications, since this provides major advantage: comparability of test scores from different test forms. However, IRT scaled scores are complicate for students to calculate. In this study, we extended globally optimal scoring weights to more general IRT models. We also applied these weights to a quick method for ability estimation and showed the efficiencies using simulated data and real data.
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