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| Paper Abstract and Keywords | ||
| Presentation | 2022-10-15 14:20 ICT tool for teachers based on handwriting data to monitor children's learning status Yutaro Takaya, Kiyohiko Hattori, Johei Matsuoka (TUT)  ET2022-24 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years，the increased workload of elementary school teachers has become one of the social problems，and the introduction of educational ICT tools to elementary schools is necessary as one of the countermeasures． As a result of an interview survey of elementary school teachers，it was found that while the introduction of ICT tools in elementary schools has been progressing，they are still not effectively used in classes and tests． One of the reasons is that the current educational ICT tools do not have a mechanism to inform the teachers of the children's attitudes and tendencies in the class． In response to this issue，this study proposes a system to notify teachers of children's attitudes and tendencies in class and in tests by collecting and utilizing their handwriting on educational ICT tools． As a result of measuring concentration based on EEG as an index for recognizing and judging the children's attitudes，it was found that the time required to answer the questions and the number of strokes representing one stroke of handwriting were related to the concentration． Therefore，by using the proposed system，it is possible to estimate the concentration ability from the data of the children's efforts，and to estimate the children's attitudes toward their efforts． | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | educational ICT tools / elementary school teachers / electroencephalograph / EEG / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 212, ET2022-24, pp. 16-22, Oct. 2022. | |
| Paper # | ET2022-24 | |
| Date of Issue | 2022-10-08 (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 | ET2022-24 |
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| Conference Information | |
| Committee | ET |
| Conference Date | 2022-10-15 - 2022-10-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Saga University and Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Learning Support Utilizing New Technologies and Devices, etc. |
| Paper Information | |
| Registration To | ET |
| Conference Code | 2022-10-ET |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | ICT tool for teachers based on handwriting data to monitor children's learning status |
| Sub Title (in English) | |
| Keyword(1) | educational ICT tools |
| Keyword(2) | elementary school teachers |
| Keyword(3) | electroencephalograph |
| Keyword(4) | EEG |
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| 1st Author's Name | Yutaro Takaya |
| 1st Author's Affiliation | Tokyo University of Technology (TUT) |
| 2nd Author's Name | Kiyohiko Hattori |
| 2nd Author's Affiliation | Tokyo University of Technology (TUT) |
| 3rd Author's Name | Johei Matsuoka |
| 3rd Author's Affiliation | Tokyo University of Technology (TUT) |
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| Speaker | Author-1 |
| Date Time | 2022-10-15 14:20:00 |
| Presentation Time | 25 minutes |
| Registration for | ET |
| Paper # | ET2022-24 |
| Volume (vol) | vol.122 |
| Number (no) | no.212 |
| Page | pp.16-22 |
| #Pages | 7 |
| Date of Issue | 2022-10-08 (ET) |
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