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Paper Abstract and Keywords
Presentation 2026-03-05 15:00
Methods for Constructing Simulated Members Using Generative AI for Discussions in Programming Exercises
Kota Tabei, Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga (Fukushima Univ), Youzou Miyadera (Gakugei Univ), Shoichi Nakamura (Fukushima Univ) ET2025-83
Abstract (in Japanese) (See Japanese page) 
(in English) As the demand for programming education at universities and other institutions has grown, the limitations of individual instruction by a small number of instructors have become apparent. While pair programming and peer reviews, where learners influence each other, are considered effective solutions, they often fail to adequately address the realities of practical exercises, such as the variations in programming logic among learners and differences in their skill levels. Particularly, while the importance of discussions among learners is recognized, the difficulty of forming groups with desirable member compositions during exercises remains a challenge. This research proposes methods for supporting discussions in programming exercises by introducing “simulated members” utilizing generative AI. Specifically, we emphasize organizing groups with learners possessing different programming logics and aim to achieve meaningful discussions by intervening with simulated members when required members are lacking. This paper outlines the support framework and describes methods for grouping learners considering differences in programming logics and constructing simulated members using generative AI.
Keyword (in Japanese) (See Japanese page) 
(in English) Simulated members / Programming exercises / Programming logic / Discussion support / Generative AI / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 391, ET2025-83, pp. 151-157, March 2026.
Paper # ET2025-83 
Date of Issue 2026-02-25 (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 ET2025-83

Conference Information
Committee ET  
Conference Date 2026-03-04 - 2026-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ET 
Conference Code 2026-03-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Methods for Constructing Simulated Members Using Generative AI for Discussions in Programming Exercises 
Sub Title (in English)  
Keyword(1) Simulated members  
Keyword(2) Programming exercises  
Keyword(3) Programming logic  
Keyword(4) Discussion support  
Keyword(5) Generative AI  
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1st Author's Name Kota Tabei  
1st Author's Affiliation Fukushima University (Fukushima Univ)
2nd Author's Name Hiroki Nakayama  
2nd Author's Affiliation Fukushima University (Fukushima Univ)
3rd Author's Name Ryo Onuma  
3rd Author's Affiliation Fukushima University (Fukushima Univ)
4th Author's Name Hiroaki Kaminaga  
4th Author's Affiliation Fukushima University (Fukushima Univ)
5th Author's Name Youzou Miyadera  
5th Author's Affiliation Tokyo Gakugei University (Gakugei Univ)
6th Author's Name Shoichi Nakamura  
6th Author's Affiliation Fukushima University (Fukushima Univ)
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Speaker Author-1 
Date Time 2026-03-05 15:00:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2025-83 
Volume (vol) vol.125 
Number (no) no.391 
Page pp.151-157 
#Pages 7 
Date of Issue 2026-02-25 (ET) 

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