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Paper Abstract and Keywords
Presentation 2026-11-14 11:00
Toward Developing a Generative AI-Based Framework for Learning Status Analysis and Advice
Toshikazu Iitaka (Kumamoto Gakuen Univ.) ET2026-44
Abstract (in Japanese) (See Japanese page) 
(in English) AI chatbot functionalities designed to support learning during lectures have been developed. I analyzed the concurrent interactions among multiple e‑learning features. Heterogeneous datasets representing distinct e‑learning functions can be integrated to enable personalized retrieval‑augmented generation (RAG) of other instructional functionalities using generative AI. A template which can be used by these functions in the futrure has been developed; accordingly, this paper introduces that template.
The paper first delineates the background of the investigation and then clarifies the template requirements. It subsequently demonstrates the application of the function and concludes with a discussion of potential functions derivable from the proposed template.
Keyword (in Japanese) (See Japanese page) 
(in English) Generative-AI / Chat-Bot / RAG(Retrieval-Augmented Generation) / / / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 236, ET2026-44, pp. 9-16, Nov. 2026.
Paper # ET2026-44 
Date of Issue 2026-11-07 (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 ET2026-44

Conference Information
Committee ET  
Conference Date 2026-11-14 - 2026-11-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Tsukuba University of Technology(Amakubo Campus) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Special Needs Education and Welfare Support, etc. 
Paper Information
Registration To ET 
Conference Code 2026-11-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Toward Developing a Generative AI-Based Framework for Learning Status Analysis and Advice 
Sub Title (in English)  
Keyword(1) Generative-AI  
Keyword(2) Chat-Bot  
Keyword(3) RAG(Retrieval-Augmented Generation)  
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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 2026-11-14 11:00:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2026-44 
Volume (vol) vol.126 
Number (no) no.236 
Page pp.9-16 
#Pages 8 
Date of Issue 2026-11-07 (ET) 

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