| Paper Abstract and Keywords |
| Presentation |
2024-09-04 14:10
Enhancement of the Audience Response Module through Generative Artificial Intelligence.
-- A Solution to the Waiting Time Issue in the Audience Response Module via Generative Artificial Intelligence. -- Toshikazu Iitaka (Kumamoto Gakuen Univ.) ET2024-22 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper presents the integration of a supportive function utilizing generative AI into the audience response module I have developed. Typically, audiences who submit their assignments first are subjected to prolonged waiting periods, rendering the lecture monotonous. This is a significant cause of dissatisfaction in lectures employing ARS modules. The new function facilitates interaction between generative AI and the waiting audience. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Generative-AI / Interactive-Lectures / Clicker / Waiting-ime / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 124, no. 174, ET2024-22, pp. 12-17, Sept. 2024. |
| Paper # |
ET2024-22 |
| Date of Issue |
2024-08-28 (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 |
ET2024-22 |
| Conference Information |
| Committee |
ET |
| Conference Date |
2024-09-04 - 2024-09-04 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hiroshima Institute of Technology, |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Utilization of Education Big Data / etc. |
| Paper Information |
| Registration To |
ET |
| Conference Code |
2024-09-ET |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Enhancement of the Audience Response Module through Generative Artificial Intelligence. |
| Sub Title (in English) |
A Solution to the Waiting Time Issue in the Audience Response Module via Generative Artificial Intelligence. |
| Keyword(1) |
Generative-AI |
| Keyword(2) |
Interactive-Lectures |
| Keyword(3) |
Clicker |
| Keyword(4) |
Waiting-ime |
| Keyword(5) |
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| Keyword(6) |
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| 1st Author's Name |
Toshikazu Iitaka |
| 1st Author's Affiliation |
Kumamoto Gakuen University (Kumamoto Gakuen Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2024-09-04 14:10:00 |
| Presentation Time |
25 minutes |
| Registration for |
ET |
| Paper # |
ET2024-22 |
| Volume (vol) |
vol.124 |
| Number (no) |
no.174 |
| Page |
pp.12-17 |
| #Pages |
6 |
| Date of Issue |
2024-08-28 (ET) |