Research on Intelligent Learning Path Planning and Recommendation Algorithm in OMO Teaching Mode Based on Artificial Intelligence Grand Modeling

OMO teaching mode based on artificial intelligence big model is one of the important future research directions and application landing forms in the future education field.The learning path recommendation algorithm based on big language model is constructed by integrating Transformer architecture, neural network architecture and self-attention mechanism.Combining it with the course knowledge graph, it links the learners with the knowledge system and visualizes the results of the intelligently planned learning path.The study shows that compared with several other algorithms, the personalized learning path recommendation algorithm based on AI big model has better convergence speed and stability.The optimal solution for learning path planning is found after only about 90 iterations.Taking "Chemical Process and Control Simulation" as the target course, the method in this paper gives the learning path and course.Through the questionnaire survey, the mean value of the four dimensions of pre-class pre-study, classroom exploration, post-class enhancement, and learning satisfaction is more than 3 points, which indicates that the OMO model and the teaching model of the artificial intelligence big model have a better experience.