| Project/Area Number |
16520313
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Japanese language education
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| Research Institution | Nagoya University (2006)
University of Tsukuba (2004-2005) |
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Principal Investigator |
KINUGAWA Takao Nagoya University, Education Center for International Students, Associate Professor, 留学生センター, 助教授 (30282289)
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| Co-Investigator(Kenkyū-buntansha) |
NISHIMURA Yoshimi University of Tsukuba, Graduate School of Humanities and social Sciences, Professor, 大学院人文社会科学研究科, 教授 (40208228)
ONO Masaki University of Tsukuba, Graduate School of Humanities and social Sciences, Assistant Professor, 大学院人文社会科学研究科, 講師 (10302340)
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| Project Period (FY) |
2004 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥3,300,000 (Direct Cost: ¥3,300,000)
Fiscal Year 2006: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 2005: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2004: ¥1,300,000 (Direct Cost: ¥1,300,000)
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| Keywords | Japanese Language Leaner / Writing / evaluation / Idea Unit / Japanese as second language / 量的指標 / 重回帰分析 / T-Unit / I-Unit |
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| Research Abstract |
This study increased the accuracy and validated use of the Automatic Scoring System for Japanese Writing(ASSW) by learners of Japanese as a Second Language (JSL Writing). Analysis was conducted using 107 writing samples from placement tests taken by JSL in the first term of 2000. Statistics were extracted from the writing samples for variables such as the number of characters and number of sentences. Multiple regression analysis was then conducted using the statistics as explaining variables and scores from grading by experienced scorers as criterion variables, and a predictive formula was calculated. As a result, the following points became apparent. 1) The number of characters, number of nouns, number of kanji, and number of verbs have a strong effect on the criterion variable, respectively. 2) The number of characters, number of kanji, and number of verbs have a positive effect on the evaluation score. 3) The number of nouns has a negative effect on the evaluation score. 4) The predicted r-squared, which can explain the evaluation score (the criterion variable) based on the explaining variables, was 73%.
Furthermore, correlation between the results of grading by experienced scorers and the prediction results was evaluated using descriptive writing assignments given as part of placement tests in the second and third terms of 2000 in order to validate the predictive formula. As a result, it was apparent that the results of score prediction using the predictive formula were almost equal to the scores obtained from grading by experienced scorers.
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