| Project/Area Number |
20K00807
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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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| Review Section |
Basic Section 02100:Foreign language education-related
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| Research Institution | Kochi University of Technology |
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Principal Investigator |
Daniels Paul 高知工科大学, 共通教育教室, 教授 (50307245)
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| Co-Investigator(Kenkyū-buntansha) |
熊井 信弘 学習院大学, 付置研究所, 教授 (00248999)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Project Status |
Completed (Fiscal Year 2023)
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| Budget Amount *help |
¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2022: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2021: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2020: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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| Keywords | automated / speech / assessment / language / learning / speaking / AI / EFL / automated essay scoring / grammar / listening / writing / computer / scoring / feedback / English / Automated / recognition |
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| Outline of Research at the Start |
Over the last 6 years, we have been actively developing an online system that automatically scores learners's speech and provides personalized feedback. It is a low-cost solution for Japanese students to practice their English speaking skills for entrance exams and proficiency tests.
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| Outline of Final Research Achievements |
Successful development of an open-source automated speaking assessment platform was achieved. The platform automated the scoring of speaking tasks, allowed the instructor to add custom speaking tasks, and offered learners individualized speaking feedback. Data collected from student use of the system indicated that student’s overall speaking abilities improved. Learners also indicated that the speaking tasks with individualized feedback was helpful. In addition, a positive correlation was observed between the human-generated and computer-generated scores for speaking tasks.
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| Academic Significance and Societal Importance of the Research Achievements |
Through the development of an open-source system with automated scoring of speech, language learners in large classes had more opportunities for extensive speaking practice. In addition, the system proved beneficial for speaking practice for standardized language learning tests.
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