Abstract: This article explores, in a dialogic format, ten key issues related to the transformation from traditional industrial civilization education to digital intelligent education. The core of this transformation lies in the shift of educational objectives from cultivating "knowledge-based talents" to "innovation-orented talents", emphasizing the ability to solve real-world problems with the assistance of artificial intelligence. The teaching space transitions from a closed "ivory tower" to a "borderless open space", learning time shifts from rigid synchronization to flexible ubiquity, and teaching scenarios evolve from single lectures to a full-process immersive matrix. Teachers' roles transition from knowledge imparters to learning facilitators, while students' roles shift from passive listeners to active learners. The teaching model forms a "teacher-machine-student" ternary synergy, the curriculum system moves from a rigid, single-disciplinary approach to a dynamic, composite one, teaching methods reduce lectures to less than 30%, and educational evaluation shifts from score-oriented to ability-oriented. This transformation is not merely a technological accumulation but a systematic reconstruction, aiming at returning education to its fundamental purpose of "nurturing people", enabling teachers and artificial intelligence to dance together and cultivate innovative talents who can truly lead the future.