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| Presentation | 2018-07-14 14:55 Development of a Machine Learning Model for Estimating Learning Situations Based on Source Code Editing History Shota Kawaguchi, Yoshiki Sato (Gakugei Univ.), Hiroki Nakayama (Waseda Univ.), Shoichi Nakamura (Fukushima Univ.), Youzou Miyadera (Gakugei Univ.)  ET2018-27 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | During the process of the programming course, teachers want to estimate the learning situation of students. Our findings show that the source code editing history is very important, as it reflects the process of trial and error by students. Therefore, this study aims to develop a method to estimate the detailed learning situation from the source code editing history regardless of compile error. To achieve this purpose, data correlating the source code editing history with the corresponding learning situation is applied to the machine learning method as training data. Moreover, we develop a machine learning model that outputs the estimated learning situation when new source code editing history is input. In this paper, we develop both a method and support tools for the learning situation estimation from learner's source code editing history data. As a result, the learner’s learning situation can be estimated with high accuracy, and the possibility of a learning situation estimation method in a practical lesson is shown. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Programming Learning / Learning Situations Estimation / Machine learning / Source Code Editing History / Education Support / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 131, ET2018-27, pp. 47-52, July 2018. | |
| Paper # | ET2018-27 | |
| Date of Issue | 2018-07-07 (ET) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | ET2018-27 |
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| Conference Information | |
| Committee | ET |
| Conference Date | 2018-07-14 - 2018-07-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | National Institute of Technology, Hakodate College |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Learning Analytics and Learning Data, etc. |
| Paper Information | |
| Registration To | ET |
| Conference Code | 2018-07-ET |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Development of a Machine Learning Model for Estimating Learning Situations Based on Source Code Editing History |
| Sub Title (in English) | |
| Keyword(1) | Programming Learning |
| Keyword(2) | Learning Situations Estimation |
| Keyword(3) | Machine learning |
| Keyword(4) | Source Code Editing History |
| Keyword(5) | Education Support |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shota Kawaguchi |
| 1st Author's Affiliation | Tokyo Gakugei University (Gakugei Univ.) |
| 2nd Author's Name | Yoshiki Sato |
| 2nd Author's Affiliation | Tokyo Gakugei University (Gakugei Univ.) |
| 3rd Author's Name | Hiroki Nakayama |
| 3rd Author's Affiliation | Waseda University (Waseda Univ.) |
| 4th Author's Name | Shoichi Nakamura |
| 4th Author's Affiliation | Fukushima University (Fukushima Univ.) |
| 5th Author's Name | Youzou Miyadera |
| 5th Author's Affiliation | Tokyo Gakugei University (Gakugei Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-07-14 14:55:00 |
| Presentation Time | 25 minutes |
| Registration for | ET |
| Paper # | ET2018-27 |
| Volume (vol) | vol.118 |
| Number (no) | no.131 |
| Page | pp.47-52 |
| #Pages | 6 |
| Date of Issue | 2018-07-07 (ET) |
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