International Journal of
Information and Education Technology

Editor-In-Chief: Prof. Jon-Chao Hong
Frequency: Monthly
ISSN: 2010-3689 (Online)
E-mali: editor@ijiet.org
Publisher: IACSIT Press
 

OPEN ACCESS
3.9
CiteScore

IJIET 2024 Vol.14(7): 955-960
doi: 10.18178/ijiet.2024.14.7.2122

Educational Support System for Children with Developmental Disabilities through Offline Large Language Models and Retrieval-Augmented Generation

Masaki Kato1 , Makoto Koshino1 , Sakiko Ogoshi2,* , Yasuhiro Ogoshi3

  • 1Department of Electronics and Information Engineering, National Institute of Technology Ishikawa College, Tsubata, Ishikawa, Japan
  • 2Department of Electronics and Information Engineering, National Institute of Technology Fukui College, Fukui, Japan
  • 3Department of Human and Artificial Intelligent Systems Graduate School of Engineering, University of Fukui, Fukui, Japan

* Corresponding author

  • Manuscript receivedFebruary 18, 2024
  • revisedMarch 4, 2024
  • acceptedMarch 11, 2024
  • publishedJuly 15, 2024

Abstract

In recent years, there has been a growing need for tailored educational and support measures for children with developmental disorders in Japan. Approximately 8.8% of students in regular classes require special support, necessitating close collaboration and information sharing among schools, families, and welfare facilities. However, teachers and supporters face challenges such as instructional skills, workload, and parent interactions, which cannot be resolved simply by increasing years of experience. Collaboration with external specialized institutions is an effective measure, but few schools engage in regular information sharing. This study proposes the use of Large Language Models (LLMs) and Retrieval- Augmented Generation (RAG) based on the support information and behavioral history of students accumulated in the Individualized Educational Support System. The proposed approach offers practical solutions to the lack of experience in special education, insufficient collaboration, and workload issues. Experiments with a question-answering system using multiple models confirmed the possibility of providing answers based on content specific to each child. The effectiveness of a summary system in providing individualized support was confirmed through evaluations by actual supporters. The proposed approach demonstrates the potential for addressing the challenges faced in supporting children with developmental disorders in Japan.

Keywords

  • developmental disabilities
  • collaborative support
  • individualized educational support
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
IJIET-V14N7-2122

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Masaki Kato, Makoto Koshino, Sakiko Ogoshi, and Yasuhiro Ogoshi, "Educational Support System for Children with Developmental Disabilities through Offline Large Language Models and Retrieval-Augmented Generation," International Journal of Information and Education Technology, vol. 14, no. 7, pp. 955-960, 2024. https://doi.org/10.18178/ijiet.2024.14.7.2122

Copyright & License

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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