Abstract: Artificial intelligence is profoundly transforming education. However, current practices of precision teaching are mostly confined to the frameworks of technological instrumentalism and behaviorism, which tend to render students passive and weaken teachers' role. To address these challenges, this study introduces the theory of value co-creation to develop a human-AI collaborative precision teaching model. By deeply integrating the theories of precision teaching, human-AI collaboration, and value co-creation, the study designs a dual-cycle driving mechanism consist of micro-instantaneous cycle and macro-periodic cycle. Furthermore, it distills three human-AI collaborative patterns: "AI-assisted teacher-led" "human-machine co-constructed student-centered," and "data-driven collaborative evolution." This research provides a theoretical and practical paradigms for reforming higher education in the intelligent era, advancing human-AI collaboration from mere "tool empowerment" toward genuine "value co-creation".