| Presentation | 2021-03-03 Similar Problem Search Using Deep Learning for Supportintg Programming Education Hiroki Yamamoto, Haruki Matsuo, Kentaro Okino, Yasutaka Kamei, Naoyasu Ubayashi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, the demand for programming education has been increasing, and classes on programming have been increasing. On the other hand, it is difficult to do a sufficient number of programming exercises problems within the limited class time. One possible solution is to support learning by similar problem search. If it is possible to search for similar problems that have not been tackled before, it would be an aid to programming exercises. In this study, we focused on similar problem search using deep learning and conducted similar problem search using as training data the datasets of programming problems used at Kyushu University and those used in competitive programming. As a result of the similar problem search using the two datasets as training data, similar problems were obtained more than 11.3% of the time. As a result of investigating which dataset is effective for training by changing the dataset used for training, we showed that more than 10.7% of similar problems can be obtained by using the same dataset as the program to be searched for training. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Similar problem search / Deep Learning / Programming Education / Learning Support |
| Paper # | SS2020-36 |
| Date of Issue | 2021-02-24 (SS) |
| Conference Information | |
| Committee | SS |
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| Conference Date | 2021/3/3(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Takashi Kobayashi(Tokyo Inst. of Tech.) |
| Vice Chair | Kozo Okano(Shinshu Univ.) |
| Secretary | Kozo Okano(Hiroshima City Univ.) |
| Assistant | Shinpei Ogata(Shinshu Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Software Science |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Similar Problem Search Using Deep Learning for Supportintg Programming Education |
| Sub Title (in English) | |
| Keyword(1) | Similar problem search |
| Keyword(2) | Deep Learning |
| Keyword(3) | Programming Education |
| Keyword(4) | Learning Support |
| 1st Author's Name | Hiroki Yamamoto |
| 1st Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 2nd Author's Name | Haruki Matsuo |
| 2nd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 3rd Author's Name | Kentaro Okino |
| 3rd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 4th Author's Name | Yasutaka Kamei |
| 4th Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 5th Author's Name | Naoyasu Ubayashi |
| 5th Author's Affiliation | Kyushu University(Kyushu Univ.) |
| Date | 2021-03-03 |
| Paper # | SS2020-36 |
| Volume (vol) | vol.120 |
| Number (no) | SS-407 |
| Page | pp.pp.49-54(SS), |
| #Pages | 6 |
| Date of Issue | 2021-02-24 (SS) |