This paper focuses on the construction of virtual campus spaces and the optimization of educational scenarios based on digital twin technology. It clarifies the core concepts of digital twins and virtual campuses, systematically analyzes key technologies involved in virtual campus construction—including design frameworks, data modeling and real-time synchronization, and virtual-physical integration interaction—and proposes optimization strategies for educational scenarios such as personalized teaching, intelligent resource allocation, and virtual laboratory development. Research findings indicate that this technology enables the digital replication and dynamic updating of physical campuses, significantly enhancing teaching efficiency, optimizing resource allocation, and improving learning experiences. However, current challenges include high hardware costs and insufficient user adaptability. Future advancements in AI, IoT, and related technologies will provide stronger support for the intelligent and personalized development of education.