Construction and performance evaluation of an automatic scoring system for essay sentences by the intelligence mining
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- Hasegawa Takahiro
- Principal Investigator
- 静岡大学
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- HASEGAWA HIROAKI
- Research Collaborator
About This Project
- Japan Grant Number
- JP16K00299 (JGN)
- Funding Program
- Grants-in-Aid for Scientific Research
- Funding Organization
- Japan Society for the Promotion of Science
Kakenhi Information
- Project/Area Number
- 16K00299
- Research Category
- Grant-in-Aid for Scientific Research (C)
- Allocation Type
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- Multi-year Fund
- Review Section / Research Field
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- Integrated Disciplines > Informatics > Human informatics > Intelligent informatics
- Research Institution
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- Shizuoka University
- Project Period (FY)
- 2016-04-01 〜 2019-03-31
- Project Status
- Completed
- Budget Amount*help
- 4,550,000 Yen (Direct Cost: 3,500,000 Yen Indirect Cost: 1,050,000 Yen)
Research Abstract
Use morpheme analysis to decompose into 11 parts of speech such as nouns, verbs, particles, and auxiliary verbs included in short essays (about 800 to 2000 characters) We evaluated the short essay high-speed automatic scoring cloud service for scoring. According to multiple student questionnaires, the combined proportion of “Evaluation 5: Very effective” and “Evaluation 4: Effective” is 64% to 83% in the five-level evaluation of the effectiveness of the service, and many subjects used this service It turned out that the effect of the improvement of the writing ability by can be realized at a high rate. The effectiveness of the service in higher education has been verified with a high degree of certainty.
Details 詳細情報について
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- CRID
- 1040000781906357632
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- Text Lang
- ja
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- Data Source
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- KAKEN
