Abstract: Aiming to address the significant issues in traditional professional courses such as communication engineering, spatial information, and digital technology, including the monotony of in-class experimental teaching content, students’ lack of interest in exploration and practice, and the low frequency of interaction between teachers and students, this paper takes the experimental teaching of sound transmission and confrontation as an example. Based on the new paradigm of digital intelligence education, it comprehensively explores the innovation of teaching design, implementation, and evaluation processes to support a student-centered teaching organization model. By deeply integrating generative artificial intelligence with the experimental processes of sound coding, transmission, and confrontation, and through the human-computer interaction process, it inspires students to design innovative coding rules and work in teams to explore and practice the course content. The teaching practice results prove that the implemented teaching model effectively enhances students' system optimization capabilities and cross-disciplinary problem-solving abilities, providing a paradigm reference for the cultivation of new engineering talents.