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Paper Abstract and Keywords
Presentation 2021-07-03 14:00
Evaluation Method of Initiative Using Verbal and Nonverbal Information
Shuma Tajima, Eiji Kamioka, Manami Kanamaru (SIT) ET2021-7
Abstract (in Japanese) (See Japanese page) 
(in English) In the field of education such as universities, active learning such as group discussion (hereinafter, referred to as "GD") is being introduced more and more. However, it is difficult to perform a quantitative evaluation, thus teachers evaluate the participants subjectively. There are few studies that use technical methods to solve this problem. This study aims at establishing a quantitative and objective evaluation method for GD. More concretely, initiative of participants is focused on and the degree of the initiative using verbal and nonverbal information obtained from videos is estimated. In the evaluation, first, 12 features of the participants, which are assumed to contribute to the evaluation of the initiative, were extracted from videos, and the degree of influence on the initiative was investigated. After selecting explanatory variables using the stepwise method, multiple regression analysis was conducted using these variables to derive a formula indicating the degree of initiative. As a result, when the number of common language utterances and the number of nodding were used as features, the evaluation of the initiative was well-estimated with an adjusted R-square of 0.68.
Keyword (in Japanese) (See Japanese page) 
(in English) Group Discussion / Initiative / Verbal and Nonverbal Information / Multiple Regression Analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 88, ET2021-7, pp. 13-18, July 2021.
Paper # ET2021-7 
Date of Issue 2021-06-26 (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)
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Conference Information
Committee ET  
Conference Date 2021-07-03 - 2021-07-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Utilization of Educational AI and Learning History Data, etc. 
Paper Information
Registration To ET 
Conference Code 2021-07-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation Method of Initiative Using Verbal and Nonverbal Information 
Sub Title (in English)  
Keyword(1) Group Discussion  
Keyword(2) Initiative  
Keyword(3) Verbal and Nonverbal Information  
Keyword(4) Multiple Regression Analysis  
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1st Author's Name Shuma Tajima  
1st Author's Affiliation Shibaura Institute of Technology (SIT)
2nd Author's Name Eiji Kamioka  
2nd Author's Affiliation Shibaura Institute of Technology (SIT)
3rd Author's Name Manami Kanamaru  
3rd Author's Affiliation Shibaura Institute of Technology (SIT)
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Speaker Author-1 
Date Time 2021-07-03 14:00:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2021-7 
Volume (vol) vol.121 
Number (no) no.88 
Page pp.13-18 
#Pages
Date of Issue 2021-06-26 (ET) 


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