The invention belongs to the technical field of
medical education training systems, and particularly relates to a generative AI-based personalized
infection control training
system and method, and the
system comprises a data collection module, a capability portrait construction module, a
knowledge generation module, a difficulty regulation and control module, an evaluation module, a
personalized learning module, an output module and a
virtual patient interaction module. According to the
system, user behavior data are integrated through a federal learning mechanism, a multi-dimensional ability portrait is constructed, hierarchical training content is generated by using a generative
large model, and content difficulty dynamic adjustment is realized in combination with a Q-learning
algorithm. The system supports VR / AR immersive training and voice
interaction control, and can simulate a real infection scene and present a 3D propagation consequence. Compared with a traditional static teaching scheme, the system has higher adaptability, interactivity and training closed-loop ability, and the individuation and effectiveness of
infection control training are remarkably improved.