With the deep penetration of artificial intelligence technology in the field of education, human-machine collaborative education models have gradually become a research hotspot. However, the inadequacy of technology application and educational scenario compatibility remains the core bottleneck restricting its development. Based on the theory of cognitive symbiosis, this article constructs a dynamic matching matrix as an intelligent decision-making model. By following the technical path of "dimension design-rule modeling-scenario validation", it achieves precise matching of three major mechanisms: coexistence of educational scene characteristics and knowledge network, dynamic transfer of control, and maintenance of emotional connections. Research shows that this matrix is compatible in liberal arts, science, and interdisciplinary educational scenarios, balancing technological possibilities with educational necessities, and providing a replicable technical paradigm for the deep integration of artificial intelligence and teaching and learning. © 2025 Copyright held by the owner/author(s).
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