The Focus, Methods, and Implementation Approaches of AI Empowering Innovation in Military Theory Teaching in Universities
- DOI
- 10.2991/978-94-6239-691-3_19How to use a DOI?
- Keywords
- AI; Military Theory; Teaching Innovation; Focus Point; Method; Implementation Approaches
- Abstract
Addressing the impact of AI technology on military theory course instruction, this study explores the primary focus areas, key methodologies, and implementation pathways for AI-empowered innovation in military theory teaching. Analysis indicates: (1) AI empowerment within military theory course delivery should concentrate on instructional segments including learner profiling, knowledge transmission, seminar interaction, and assessment feedback, thereby fully leveraging AI technology’s catalytic role in pedagogical innovation; (2) Concrete methodologies for AI-empowered innovation in military theory courses should be developed through teaching data collection, resource expansion, learning environment design, and pedagogical model integration; (3) Building upon an intelligent teaching philosophy, continuous enhancement of AI-integrated teaching innovation in military theory courses requires strengthening faculty development, teaching infrastructure, and instructional evaluation mechanisms.
- 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 - Ying Lu AU - Liang Wang AU - Wen-hao Lin AU - Xue-ping Tan AU - Ju Huang PY - 2026 DA - 2026/05/31 TI - The Focus, Methods, and Implementation Approaches of AI Empowering Innovation in Military Theory Teaching in Universities BT - Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026) PB - Atlantis Press SP - 178 EP - 189 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6239-691-3_19 DO - 10.2991/978-94-6239-691-3_19 ID - Lu2026 ER -