Innovation and entrepreneurship education is an important carrier for cultivating college students’ cultural confidence. This paper constructs an innovation and entrepreneurship smart classroom based on artificial intelligence technology to improve the efficiency of students’ online and offline learning. The knowledge graph is designed from both the schema layer and the data layer to integrate innovation and entrepreneurship education resources. In the knowledge representation module, the knowledge graph embedding (TransE model) and the deep wandering algorithm (DeepWalk) are integrated to realize the accurate recommendation of knowledge. Using the innovative entrepreneurship resource base system based on the knowledge graph and knowledge representation module for assisted learning, students’ cultural self-confidence can be shaped from eight dimensions, including “historical and cultural identity”, etc. The correlation between the eight influencing factors and cultural selfconfidence is more than 0.5, P<0.001, and can explain 80.5% of the variance of cultural self-confidence. Beta values are all greater than 1.600, and three factors such as “linguistic and cultural identity” have a significant impact on shaping cultural self-confidence (P<0.0001).
