| Presentation | 2020-03-07 Development of an Assessment Support System for Detecting Changes of Self-Assessment Using Outlier Analysis Tetsuya Ebina, Yasuhiko Morimoto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, it has become necessary for students to prepare an outlook about their learning by reflecting on it through self-assessment in their learning activities. However, it is not easy for students to recognize changes in self-assessment. It is thought that self-assessment is promoted by making students aware of the changes. Therefore, the purpose of this study is to detect changes in self-assessment. Specifically, we focus on self-assessment using numeric data. We developed and tested an assessment support system that detects changes in self-assessment using outlier analysis and displays resulting prompts. The results suggested that students became encouraged to reflect deeply on their learning by using the system. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Self-Assessment / Data Mining / Learning Analytics / Outlier Analysis / Numeric Data |
| Paper # | ET2019-78 |
| Date of Issue | 2020-02-29 (ET) |
| Conference Information | |
| Committee | ET |
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| Conference Date | 2020/3/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | National Institute of Technology, Kagawa Collage |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | LMS and e-Portfolio, etc. |
| Chair | Hideyuki Suzuki(Ibaraki Univ.) |
| Vice Chair | Ryo Takaoka(Yamaguchi Univ.) |
| Secretary | Ryo Takaoka(Waseda Univ.) |
| Assistant | Megumi Kurayama(National Inst. of Tech., Hakodate College) / Ryo Oonuma(Fukushima Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Educational Technology |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Development of an Assessment Support System for Detecting Changes of Self-Assessment Using Outlier Analysis |
| Sub Title (in English) | |
| Keyword(1) | Self-Assessment |
| Keyword(2) | Data Mining |
| Keyword(3) | Learning Analytics |
| Keyword(4) | Outlier Analysis |
| Keyword(5) | Numeric Data |
| 1st Author's Name | Tetsuya Ebina |
| 1st Author's Affiliation | Tokyo Gakugei University(Tokyo Gakugei Univ.) |
| 2nd Author's Name | Yasuhiko Morimoto |
| 2nd Author's Affiliation | Tokyo Gakugei University(Tokyo Gakugei Univ.) |
| Date | 2020-03-07 |
| Paper # | ET2019-78 |
| Volume (vol) | vol.119 |
| Number (no) | ET-468 |
| Page | pp.pp.13-18(ET), |
| #Pages | 6 |
| Date of Issue | 2020-02-29 (ET) |