| Presentation | 2017-11-24 Comment Mining to Estimate Junior High-school Student Performance toward Improvement of Student Learning Ichiro Niiya, Takayuki Nagai, Tsunenori Mine, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Estimating student performance is very useful for estimating students with poor grades early. In this research, we will estimate the performance from the retrospective sentences after the lesson described by junior high school students of the Learning Cram school and investigate the students' retrospect. In the estimation of the grades, each student made a backward sentence written after the lesson of the subject student himself / herself as a vector, followed by dimensional compression, and the student 's performance was estimated from various classifiers. In the survey of students' retrospective sentences, we examined words with high frequency of appearance by grades. As a result, the performance estimation accuracy using the binary weights and mutual information was better than the results of the previous research in the performance estimation. In the survey of retrospective sentences, it was found that the frequency of appearance and objects of respectful adverbs differed for the top grades and the students 'lower students' respect. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Machine learning, / Text mining / Junior high school student comments / performance estimation |
| Paper # | AI2017-12 |
| Date of Issue | 2017-11-17 (AI) |
| Conference Information | |
| Committee | AI |
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| Conference Date | 2017/11/24(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Tsunenori Mine(Kyushu Univ.) |
| Vice Chair | Daisuke Katagami(Tokyo Polytechnic Univ.) / Naoki Fukuta(Shizuoka Univ.) |
| Secretary | Daisuke Katagami(Ritsumeikan Univ.) / Naoki Fukuta(Univ. of Electro-Comm.) |
| Assistant | Yuko Sakurai(AIST) |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Comment Mining to Estimate Junior High-school Student Performance toward Improvement of Student Learning |
| Sub Title (in English) | |
| Keyword(1) | Machine learning, |
| Keyword(2) | Text mining |
| Keyword(3) | Junior high school student comments |
| Keyword(4) | performance estimation |
| 1st Author's Name | Ichiro Niiya |
| 1st Author's Affiliation | Kyushu University(Kyushu Univ) |
| 2nd Author's Name | Takayuki Nagai |
| 2nd Author's Affiliation | Kyushu University(Kyushu Univ) |
| 3rd Author's Name | Tsunenori Mine |
| 3rd Author's Affiliation | Kyushu University(Kyushu Univ) |
| Date | 2017-11-24 |
| Paper # | AI2017-12 |
| Volume (vol) | vol.117 |
| Number (no) | AI-326 |
| Page | pp.pp.31-36(AI), |
| #Pages | 6 |
| Date of Issue | 2017-11-17 (AI) |