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Paper Abstract and Keywords
Presentation 2022-03-04 10:35
Study on Class Training System using Multi-student Agents based on Class Evaluation and Environmental Information
Chie Masumoto, Sho Ooi, Mutsuo Sano (OIT) ET2021-59
Abstract (in Japanese) (See Japanese page) 
(in English) An aspirant to teachers has a few opportunities to teach in the field, such as practical training and a part-time teacher, so when hired as teachers, they need to teach in front of students with little practical experience. For that reason, they are unable to proceed with the lesson scenarios they envision and become stressed. This paper creates student agents with actual student behavior in a virtual space and develops a class training system similar to the real environment. Specifically, the system controls the behaviors of student agents with transition probability calculated from actual behavior, weather information, time, and behaviors of other student agents. We conducted experiments to evaluate the system for students aspiring teachers, and the results showed that the proposed system was effective.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-Student Agents / Class Training System / Agent Control / Virtual Classroom / State Transition Model / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 406, ET2021-59, pp. 48-53, March 2022.
Paper # ET2021-59 
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 ET2021-59

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) Study on Class Training System using Multi-student Agents based on Class Evaluation and Environmental Information 
Sub Title (in English)  
Keyword(1) Multi-Student Agents  
Keyword(2) Class Training System  
Keyword(3) Agent Control  
Keyword(4) Virtual Classroom  
Keyword(5) State Transition Model  
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1st Author's Name Chie Masumoto  
1st Author's Affiliation Graduate School of Osaka Institute of Technology (OIT)
2nd Author's Name Sho Ooi  
2nd Author's Affiliation Osaka Institute of Technology (OIT)
3rd Author's Name Mutsuo Sano  
3rd Author's Affiliation Osaka Institute of Technology (OIT)
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Speaker Author-1 
Date Time 2022-03-04 10:35:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2021-59 
Volume (vol) vol.121 
Number (no) no.406 
Page pp.48-53 
#Pages
Date of Issue 2022-02-25 (ET) 


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