Under the background of the in-depth advancement of the national cultural digitalization strategy and the “Four Histories” education, the integrated development of libraries, archives, and museums (LAM) has become an important path to improve the quality and effectiveness of history education. Taking the practice of “AI Empowering History Education” at Communication University of Nanjing as the research object, this paper constructs an integrated framework of “technology-driven—resource integration—scene reconstruction—ecological collaboration”, and systematically analyzes how artificial intelligence technology solves problems such as resource silos, superficial experience, and single mode in history education. Research shows that building historical knowledge graphs, developing immersive virtual scenes, and designing participatory creation tasks through AI technology can realize the in-depth integration of LAM resources and the three-dimensional release of educational value. This model provides a replicable “Nanjing Plan” for the transformation of history education from fragmented resources to systematic integration and from one-way communication to in-depth interaction in the new era, and also offers practical reference for the implementation of the urban cultural digitalization strategy in the field of education.