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| Presentation | 2022-03-04 15:20 Construction of Student Models for Motor Skills Using Reinforcement Learning Jinya Sumizaki, Tomoko Kojiri (Kansai Univ.)  ET2021-72 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In order to acquire motor skills, it is necessary to move the body in an appropriate body shape. Therefore, when teaching motor skills, we should try to make learners' body shape closer to the appropriate body shape. In this case, it is common to teach body parts in a step-by-step manner. The order of learning body parts that facilitate the acquisition of body shape varies depending on the body shape of the learner and the movements they are good at. Therefore, in order to create an individualized learning support system for motor skills, it is desirable to maintain the learner's mastery type, which represents the order of body parts that the learner is likely to master, in addition to the body parts that the learner has mastered, and to teach the body parts in an instructional order suitable for the learner. In this study, we propose a method that considers the learner's acquisition speed in instruction as a reward and constructs the acquisition type from the learner's acquisition process using the concept of reinforcement learning. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Intelligent Tutoring System / Student Model / Reinforcement Learning / Motor Skill / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 406, ET2021-72, pp. 117-122, March 2022. | |
| Paper # | ET2021-72 | |
| Date of Issue | 2022-02-25 (ET) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | ET2021-72 |
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| Conference Information | |
| Committee | ET |
| Conference Date | 2022-03-04 - 2022-03-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Programming Learning Support, etc. |
| Paper Information | |
| Registration To | ET |
| Conference Code | 2022-03-ET |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Construction of Student Models for Motor Skills Using Reinforcement Learning |
| Sub Title (in English) | |
| Keyword(1) | Intelligent Tutoring System |
| Keyword(2) | Student Model |
| Keyword(3) | Reinforcement Learning |
| Keyword(4) | Motor Skill |
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| 1st Author's Name | Jinya Sumizaki |
| 1st Author's Affiliation | Kansai University (Kansai Univ.) |
| 2nd Author's Name | Tomoko Kojiri |
| 2nd Author's Affiliation | Kansai University (Kansai Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-03-04 15:20:00 |
| Presentation Time | 25 minutes |
| Registration for | ET |
| Paper # | ET2021-72 |
| Volume (vol) | vol.121 |
| Number (no) | no.406 |
| Page | pp.117-122 |
| #Pages | 6 |
| Date of Issue | 2022-02-25 (ET) |
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