Methods and content innovation strategies of digital education in higher vocational colleges under the background of artificial intelligence

The purpose of this study is to explore the method content innovation strategy of digital education in higher vocational education under the background of artificial intelligence, in order to provide theoretical support and practical guidance for the future development of higher vocational education. The research uses the method of comparative experiment to deeply analyze the difference between the digital education method based on artificial intelligence and the traditional higher vocational education method in teaching effect. The experimental results show that compared with traditional methods, the AI-based education method can improve students’ learning efficiency and satisfaction, and it is more conducive to personalized teaching. Further, the study also puts forward a series of suggestions to optimize the content of digital education methods in higher vocational colleges, such as promoting the construction of personalized learning paths, enhancing the effect of intelligent interaction and feedback, and promoting the digital transformation of teaching environment. The findings of this study bring a new perspective and thinking to the field of higher vocational education and provide feasible solutions for the future development direction of higher vocational education.