In response to the three core challenges of “code implementation diffi culties”“result interpretation gap”, and“weak comprehensive application”that have long existed in the geographical modeling and computing course, the research has systematically carried out teaching innovation and reformed with the path of “AI empowerment and thinking guidance”. The course deeply integrates artifi cial intelligence tools into the entire process of theoretical learning, code implementation, and result interpretation, and has constructed a four-dimensional teaching mode of “classroom teaching - autonomous learning - human-machine collaboration - teaching and research integration”, achieving a transformation from knowledge transmission to the cultivation of innovation ability. Teaching practice shows that this mode signifi cantly lowers the programming threshold, improves teaching effi ciency and students' ability to integrate theory and practice, enhances students' independent application and research transfer capabilities, and forms teaching resources and achievements with promotion value, initially achieving the course construction goal of “lowering the technical threshold, strengthening geographical thinking, and cultivating talents for the country”.