| Project/Area Number |
21K17865
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 62030:Learning support system-related
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| Research Institution | Ritsumeikan University |
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Principal Investigator |
YAN YU 立命館大学, 情報理工学部, 助教 (30875894)
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| Project Period (FY) |
2021-04-01 – 2025-03-31
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| Project Status |
Granted (Fiscal Year 2023)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2023: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2022: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2021: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | Programming Education / NLP / Automatic Commenting / Automatic Grading / Machine Learning / Recurrent Neural Network / Random Forest / E-learning / Programming education / Deep Learning |
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| Outline of Research at the Start |
The proposal of the research combines SKP (Syntactic Knowledge Point) technology with high-performance deep learning technology to extract features representing each beginner programmer's weaknesses in program concepts.
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| Outline of Annual Research Achievements |
In AY2023, the data collected from last year was analyzed in different ways. Feedbacks from ChatGPT students' programs were compared with human evaluations. The analysis results show that GhatGPT gives more positive feedback compared with human evaluations. These results also show that GhatGPT feedback can not give solutions to a defective student program. Several language processing models were explored to give better feedback. However, it is still ongoing.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
In AY2023, although there were no publishing outcomes from the research, the project ran smoothly and it is in the last stage now.
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| Strategy for Future Research Activity |
In AY2024, I will find more collaborators to work with for the natural language processing part. In addition, I am planning to write a journal paper to publish the data analysis results and the neural network training results.
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