The Proper Utilization of Artificial Intelligence in History Education
- DOI
- 10.2991/978-2-38476-601-7_18How to use a DOI?
- Keywords
- History Education; AI Technology; Teaching Application; Educational Challenges
- Abstract
This research aims to explore the correct application of artificial intelligence in history education to promote the modernization reform of history education. The research uses the literature analysis method to sort out the widespread application of AI in the field of education, and combines the characteristics of history education to deeply analyze its application status, facing problems and potential solutions. The study finds that AI has been applied in history education in aspects such as intelligent assisted learning tools, construction of virtual historical scenes, and excavation and analysis of historical materials. However, its application also faces challenges such as technical accuracy and reliability, conflicts in educational concepts, and the adaptability of teachers and students. This paper proposes strategies such as technological improvement, integration of educational concepts, and training of teachers and students, providing theoretical and practical references for the correct use of AI in history education.
- Copyright
- © 2026 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
TY - CONF AU - Yun Gao PY - 2026 DA - 2026/08/06 TI - The Proper Utilization of Artificial Intelligence in History Education BT - Proceedings of the 2026 2nd International Conference on Education Reform, Ideology and Politics (ERIP 2026) PB - Atlantis Press SP - 138 EP - 144 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-601-7_18 DO - 10.2991/978-2-38476-601-7_18 ID - Gao2026 ER -