With the intelligent AI technology driving the digital transformation of education, embedded system courses face the dual challenges of accelerated professional knowledge iteration and insufficient cultivation of innovative abilities. Take the course of Principles and Applications of Embedded Systems at Shangqiu Institute of Technology for example, this study proposes a smart teaching paradigm reconstruction path based on the three element interaction model of "technology empowerment - teaching reconstruction - innovation ecology". By integrating multimodal education data, blended learning, and the concept of integrating expertise and creativity, we can reconstruct teaching content, methods, and evaluation systems to achieve collaborative development of professional knowledge transmission, innovation ability cultivation, and value guidance. Practice has shown that this model effectively enhances students' ability to solve complex engineering problems, higher-order thinking, and innovative practical skills. The course has been awarded multiple honors such as the first-class undergraduate course in Henan Province and the model course of ideological and political education. The student subject competition rate has significantly increased.