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| Y. Ohno, H. Uwano, and S. Uchida, "Detection of Random Correction from Source Code Snapshots," In Proceedings of the 8th International Conference on Software and Computer Applications (ICSCA 2019), February 2019. | |
| ID | 170 |
| 分類 | 国際会議 |
| タグ | |
| 表題 (title) |
Detection of Random Correction from Source Code Snapshots |
| 表題 (英文) |
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| 著者名 (author) |
Yu Ohno,Hidetake Uwano,Shinji Uchida |
| 英文著者名 (author) |
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| 編者名 (editor) |
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| 編者名 (英文) |
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| キー (key) |
Yu Ohno |
| 書籍・会議録表題 (booktitle) |
Proceedings of the 8th International Conference on Software and Computer Applications (ICSCA 2019) |
| 書籍・会議録表題(英文) |
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| 巻数 (volume) |
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| 号数 (number) |
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| ページ範囲 (pages) |
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| 組織名 (organization) |
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| 出版元 (publisher) |
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| 出版元 (英文) |
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| 出版社住所 (address) |
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| 刊行月 (month) |
2 |
| 出版年 (year) |
2019 |
| 採択率 (acceptance) |
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| URL |
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| 付加情報 (note) |
Penang, Malaysia |
| 注釈 (annote) |
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| 内容梗概 (abstract) |
Classifying student's situation helps improve educational effect in programming course with snapshots. Snapshots can grasp student who falls "pitfall'' during a course. The purpose of this study is to classify students who make random correction in the programming course with Online Judge System. Random Correction is an action that source code correction without understanding the exercise contents. Then we propose metrics to classify students who make random corrections from snapshots of source code submitted by students and verify their usefulness. The result of the experiment shows that students who cannot reach perfect score had high value of both metrics; 1) a degree of imbalance corrections between source code lines, 2) the number of submitted revisions. |
| 論文電子ファイル | 156.pdf (application/pdf) [一般閲覧可] |
| BiBTeXエントリ |
@inproceedings{id170,
title = {Detection of Random Correction from Source Code Snapshots},
author = {Yu Ohno and Hidetake Uwano and Shinji Uchida},
booktitle = {Proceedings of the 8th International Conference on Software and Computer Applications (ICSCA 2019)},
month = {2},
year = {2019},
note = {Penang, Malaysia},
}
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