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| Paper Abstract and Keywords | ||
| Presentation | 2019-07-06 11:00 Quantitative Evaluation Method for Teacher Behavior based on Behavior Pattern of Expert Teachers and Beginner Teachers Shunyu Yao, Sho Ooi, Haruo Noma (Rits Univ.)  ET2019-17 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | A new teacher needs to give tuition from the first day at work. The new teacher is difficult to train tuition in an actual environment. Therefore, we think that we need to develop a trial lesson system close to the actual environment for the new teacher. The trial lesson system has three functions, namely, to display the environment close to the actual school, to evaluate teacher behavior quantitatively, to reflect oneself an experienced video (give oneself an awareness). This study focuses to evaluate teacher behavior quantitatively. The quantitatively of teachers’ behavior needs to recognize the behavior and to analyze behavior transition. As previous research, the behavior of the teacher in a simulated classroom was classified automatically into 10 different kinds by using ST-GCN, and it could be tagged automatically. In this research, we extract transitions of automatically identified motion patterns, and propose a method to quantitatively evaluate the behavior of teachers in class based on the behavior patterns. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Pattern Recognition / ST-GCN / Teacher Behavior / Deep Learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 105, ET2019-17, pp. 11-16, July 2019. | |
| Paper # | ET2019-17 | |
| Date of Issue | 2019-06-29 (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 | ET2019-17 |
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| Conference Information | |
| Committee | ET |
| Conference Date | 2019-07-06 - 2019-07-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Iwate Prefectural University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Storage, Analysis, and Visualization of Learning Data, etc. |
| Paper Information | |
| Registration To | ET |
| Conference Code | 2019-07-ET |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Quantitative Evaluation Method for Teacher Behavior based on Behavior Pattern of Expert Teachers and Beginner Teachers |
| Sub Title (in English) | |
| Keyword(1) | Pattern Recognition |
| Keyword(2) | ST-GCN |
| Keyword(3) | Teacher Behavior |
| Keyword(4) | Deep Learning |
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| 1st Author's Name | Shunyu Yao |
| 1st Author's Affiliation | Ritsumeikan University (Rits Univ.) |
| 2nd Author's Name | Sho Ooi |
| 2nd Author's Affiliation | Ritsumeikan University (Rits Univ.) |
| 3rd Author's Name | Haruo Noma |
| 3rd Author's Affiliation | Ritsumeikan University (Rits Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-07-06 11:00:00 |
| Presentation Time | 25 minutes |
| Registration for | ET |
| Paper # | ET2019-17 |
| Volume (vol) | vol.119 |
| Number (no) | no.105 |
| Page | pp.11-16 |
| #Pages | 6 |
| Date of Issue | 2019-06-29 (ET) |
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