| Presentation | 2023-01-20 Multi-task Training with Joining-in-type Robot-assisted Language Learning System Yu Zha, Tsuneo Kato, Seiichi Yamamoto, Akihiro Tamura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Introducing robots into language learning systems is effective, especially in motivating learners to engage in learning and allowing the learners to talk in a more realistic conversational environment. The joining-in-type robot-assisted language learning (JIT-RALL) system uses two robots (one as a teacher and one as a co-learner) to simulate a multi-party conversation, which can increase learning effects. However, previous JIT-RALL had single training tasks and a fixed process. In order to further increase learning effects, we introduced the well-ordered system approach from second language acquisition theory and proposed a multi-task training with JIT-RALL system. In this paper, we compared the learning effects of learners who participated in the previous single-task JIT-RALL system with those who participated in our proposed multi-task training with JIT-RALL system. We found that the learning effects of the learners who participated in our multi-task RALL system increased by 0.20 points. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Joining-in-type robot-assisted language learning systemMulti-task trainingWell-ordered system approachLearning effects |
| Paper # | ET2022-60 |
| Date of Issue | 2023-01-13 (ET) |
| Conference Information | |
| Committee | ET |
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| Conference Date | 2023/1/20(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hyogo College of Medicine and Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Embodies Knowledge and Skill Education, 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 | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Multi-task Training with Joining-in-type Robot-assisted Language Learning System |
| Sub Title (in English) | |
| Keyword(1) | Joining-in-type robot-assisted language learning systemMulti-task trainingWell-ordered system approachLearning effects |
| 1st Author's Name | Yu Zha |
| 1st Author's Affiliation | Doshisha University(Doshisha Univ.) |
| 2nd Author's Name | Tsuneo Kato |
| 2nd Author's Affiliation | Doshisha University(Doshisha Univ.) |
| 3rd Author's Name | Seiichi Yamamoto |
| 3rd Author's Affiliation | Doshisha University(Doshisha Univ.) |
| 4th Author's Name | Akihiro Tamura |
| 4th Author's Affiliation | Doshisha University(Doshisha Univ.) |
| Date | 2023-01-20 |
| Paper # | ET2022-60 |
| Volume (vol) | vol.122 |
| Number (no) | ET-348 |
| Page | pp.pp.23-28(ET), |
| #Pages | 6 |
| Date of Issue | 2023-01-13 (ET) |