| Presentation | 2020-03-07 A feasibility of performance assessment using a large scale data set of mutual evaluation Minoru Nakayama, Masaki Uto, Filippo Sciarrone, Marco Temperini, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Learning performance is often evaluated using a peer assessment setting such as MOOC environment. Their feasibility and validity should be confirmed. Sciarrone&Temperini(2019) have developed a simulation procedure to generate a large data set of peer assessment in order to examine these issues. Also, accurate learning performance during the setting is often measured using item response theory, it may be possible to apply the large size of data. In this paper, a feasibility of estimating individual performance is examined for a simulated data set such as one thousand participants with three peers' assessment. As a result, ability, consistency and strictness for each participant are evaluated using Generalised partial credit model, the validity of these calculation approach is confirmed. This is an evidence of a possibility to predict learning performance even in large scale learning condition. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Peer Assessment / MOOC / Item Response Theory |
| Paper # | ET2019-79 |
| 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) | A feasibility of performance assessment using a large scale data set of mutual evaluation |
| Sub Title (in English) | |
| Keyword(1) | Peer Assessment |
| Keyword(2) | MOOC |
| Keyword(3) | Item Response Theory |
| 1st Author's Name | Minoru Nakayama |
| 1st Author's Affiliation | Tokyo Institute of Technology(TokyoTech) |
| 2nd Author's Name | Masaki Uto |
| 2nd Author's Affiliation | The University of Electro-Communications(UEC) |
| 3rd Author's Name | Filippo Sciarrone |
| 3rd Author's Affiliation | Roma Tre University(uniroma3) |
| 4th Author's Name | Marco Temperini |
| 4th Author's Affiliation | Sapienza University of Roma(Sapienza) |
| Date | 2020-03-07 |
| Paper # | ET2019-79 |
| Volume (vol) | vol.119 |
| Number (no) | ET-468 |
| Page | pp.pp.19-22(ET), |
| #Pages | 4 |
| Date of Issue | 2020-02-29 (ET) |