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Paper Abstract and Keywords
Presentation 2026-03-05 15:25
A Study on Selecting LLM Models for a Student AI Agent
Takahiro Ueno, Jumpei Ito (Fukuyama Univ.) ET2025-84
Abstract (in Japanese) (See Japanese page) 
(in English) This study proposes a protégé AI agent system that promotes learning by evaluating and diagnosing learners’ explanations in the background while maintaining an interactive experience that encourages learners to continue the act of teaching. The proposed system separates (i) a protégé agent that engages in dialogue on the surface—expressing gratitude and praise as a learner—and (ii) an evaluation agent that structures the learner’s explanations and generates feedback. The system is implemented using Mastra. In this paper, we compare Claude-, Gemini-, and OpenAI-family models and, based on their characteristics, report practical considerations and design implications for future implementations of the protégé AI agent system.
Keyword (in Japanese) (See Japanese page) 
(in English) Large Language Model / Protégé AI Agent / Active Learning / Learning Support System / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 391, ET2025-84, pp. 158-161, March 2026.
Paper # ET2025-84 
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 ET2025-84

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) 
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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) A Study on Selecting LLM Models for a Student AI Agent 
Sub Title (in English)  
Keyword(1) Large Language Model  
Keyword(2) Protégé AI Agent  
Keyword(3) Active Learning  
Keyword(4) Learning Support System  
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1st Author's Name Takahiro Ueno  
1st Author's Affiliation Fukuyama University (Fukuyama Univ.)
2nd Author's Name Jumpei Ito  
2nd Author's Affiliation Fukuyama University (Fukuyama Univ.)
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Speaker Author-1 
Date Time 2026-03-05 15:25:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2025-84 
Volume (vol) vol.125 
Number (no) no.391 
Page pp.158-161 
#Pages 4 
Date of Issue 2026-02-25 (ET) 

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