An AI-enhanced teaching model using a novel deep learning approach

Today’s strategy of vigorously promoting the modernization of education creates conditions for wisdom teaching and promotes the deep application of artificial intelligence technology in education. In this paper, we construct a deep learning smart teaching model that is enhanced by artificial intelligence based on the occurrence mechanism of deep learning and the theory and method of smart teaching. Furthermore, the structural equation modeling method is utilized to conduct further empirical research on the model based on the theoretical model. Among the seven hypothesized paths of the MPERT teaching model, five hypothesized C.R. values were greater than 1.96, and the P-values were all less than 0.05, indicating that the influence relationships among the variables of the hypothesis were statistically significant. It has been verified that the teaching model can effectively promote the occurrence of deep learning, especially in the enhancement of higher-order competencies such as problem creation, situation creation, and value thinking. The M-PERT teaching model constructed in this study and the practice cases designed based on the model can provide theoretical and practical references for teachers to effectively carry out smart classroom teaching and promote students’ deep learning.