Research on the Integration and Optimization Strategy of Multimodal Learning Resources under the Online-Offline Fusion Teaching Mode

With the rapid development of information technology, the application of multi-modal learning resources in college teaching is becoming more and more popular, which not only enables students to learn according to their own time and place, but also provides more teaching resources and teaching tools for college teachers. This paper discusses the application of multimodal learning resource intelligent platform, which integrates various learning resources. The knowledge graph of multimodal learning resources is established to obtain knowledge point entities efficiently, and the input form of knowledge tracking model is determined. In addition, multi-modal learning resources also provide college students with a variety of learning methods, students can learn through text, video, sound and other modes, to meet the needs of different learning styles of college students. Overall, the multimodal learning resources intelligent platform constructed in this paper has better performance in knowledge tracking and learning prediction, learning path recommendation and learning interest enhancement, and promotes the efficient integration of multimodal learning resources.