Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025)

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A study on the Automatic Generation System of Teaching Content Based on Generative AI

Authors
Muze Yu1, *
1College of Basic Military Education, University of National Defence Science and Technology, Tongliao, Inner Mongolia, 410073, China
*Corresponding author. Email: yumuze12@163.com
Corresponding Author
Muze Yu
Available Online 31 July 2025.
DOI
10.2991/978-94-6463-803-5_49How to use a DOI?
Keywords
pedagogical content generation; generative AI; knowledge graph; intelligent education
Abstract

This study develops a generative AI-based system for automatic teaching content creation, aiming to address challenges in educational resource development and personalization. The system employs a microservice architecture for scalability and reliability, builds a comprehensive pedagogical knowledge graph with 500,000 nodes, and utilizes a customized GPT-4 model trained on diverse educational materials. The knowledge base encompasses K12 curriculum standards with over 2 million relationship edges, supporting real-time updates and intelligent content generation. Experimental validation conducted across five schools involving 50 teachers and 1,500 students demonstrates remarkable results: 92% content accuracy, an 8.5-point increase in student test scores, and a 65% reduction in teacher preparation time. Performance testing confirms the system’s robust technical capabilities, supporting 2,000 concurrent users with an average response time of 250ms. The findings have significant practical value for advancing educational informatization and improving teaching efficiency.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
31 July 2025
ISBN
978-94-6463-803-5
ISSN
2667-128X
DOI
10.2991/978-94-6463-803-5_49How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Muze Yu
PY  - 2025
DA  - 2025/07/31
TI  - A study on the Automatic Generation System of Teaching Content Based on Generative AI
BT  - Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025)
PB  - Atlantis Press
SP  - 532
EP  - 538
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-803-5_49
DO  - 10.2991/978-94-6463-803-5_49
ID  - Yu2025
ER  -