Abstract: Against the backdrop of the rapid development of digital-intelligent education, human-AI collaborative teaching has become a key topic in advancing the systemic transformation of educational models. This study systematically explores the theoretical evolution and practical innovations of human-AI collaborative teaching in the context of digital-intelligent education. Through literature analysis and case studies, it reveals the three-stage development path of human-AI collaboration from“tool assistance”to“cognitive symbiosis”and expounds on its multidimensional collaborative mechanisms in reconstructing teaching subjects, innovating teaching models, and reforming evaluation systems. It also summarizes five practical pathways, including intelligent technology-driven initiatives and the integration of virtual and physical scenarios. In view of key problems such as the incomplete theoretical system and the lack of regulatory mechanisms, the study puts forward improvement measures such as constructing a hierarchical theoretical framework and improving the intelligent regulatory system. This research offers important references for the theoretical development and ecological construction of human-AI collaborative education.

Key words: Digital-intelligent education, Artificial intelligence, Human-machine collaboration, Educational ecology, Teaching reform, Smart learning