Teaching Reform and Exploration of Robot Innovation Practice Assisted by Artificial Intelligence

Against the backdrop of the deep integration of artificial intelligence technology and education, robot innovation practice has become a core carrier for cultivating students' engineering thinking, innovative capabilities, and digital literacy. Aiming at the pain points in traditional robot teaching, such as the disconnection between theory and practice, insufficient personalized training, and a simplistic evaluation system, this paper proposes a teaching reform concept of "AI Empowerment Hierarchical Practice Collaborative Innovation". It constructs an integrated curriculum system of "Perception-Integration-Control", a progressive teaching path of "Learning-Practicing-Innovating", and a multi-dimensional dynamic evaluation mechanism. Through interdisciplinary curriculum restructuring, the construction of a virtual-real integrated practice platform, and the innovation of a human-machine collaborative teaching model, the transformation from knowledge imparting to ability training is achieved, providing a replicable practical paradigm for robot education reform in the context of emerging engineering education.