| Presentation | 2023-03-14 Estimation of Learning Methods from Tools for Monitoring Learning Process Kento Kuwajima, Atsushi Ashida, Tomoko Kojiri, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In the future, with the recent development of robot technology, teacher robots will be introduced in the educational settings to teach learners. Such teacher robots, like human teachers, will be required not only to teach knowledge to learners, but also to monitor their learning process and praise their learning attitudes to motivate them. The positive learning attitudes can be grasped by the change in learning methods. If learners change learning methods, they might be making effort in finding appropriate methods. The learning methods used by learners can be inferred from the tools they use for learning. Therefore, in this study, we propose a method for estimating learning methods and giving good comments when the learners change learning methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | learner model / learning method / motivation / Bayesian network |
| Paper # | ET2022-69 |
| Date of Issue | 2023-03-07 (ET) |
| Conference Information | |
| Committee | ET |
|---|---|
| Conference Date | 2023/3/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokushima University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | AI Education Design, etc. |
| Chair | Kenji Watanabe(Hiroshimai Univ.) |
| Vice Chair | Hisayoshi Kunimune(Chiba Inst. of Tech.) |
| Secretary | Hisayoshi Kunimune(Mejiro Univ.) |
| Assistant | Kazuaki Yoshihara(Kinki Univ.) / Toru Kano(Tokyo University of Science) |
| Paper Information | |
| Registration To | Technical Committee on Educational Technology |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Estimation of Learning Methods from Tools for Monitoring Learning Process |
| Sub Title (in English) | |
| Keyword(1) | learner model |
| Keyword(2) | learning method |
| Keyword(3) | motivation |
| Keyword(4) | Bayesian network |
| 1st Author's Name | Kento Kuwajima |
| 1st Author's Affiliation | Kansai University(Kansai Univ.) |
| 2nd Author's Name | Atsushi Ashida |
| 2nd Author's Affiliation | Kansai University(Kansai Univ.) |
| 3rd Author's Name | Tomoko Kojiri |
| 3rd Author's Affiliation | Kansai University(Kansai Univ.) |
| Date | 2023-03-14 |
| Paper # | ET2022-69 |
| Volume (vol) | vol.122 |
| Number (no) | ET-431 |
| Page | pp.pp.57-64(ET), |
| #Pages | 8 |
| Date of Issue | 2023-03-07 (ET) |