A Study of Algorithms for Deep Integration of Information on Teaching Resources of Aerobics Course in the Context of Curriculum Thinking and Politics
摘要
To facilitate the seamless integration and optimal utilization of teaching resource information pertaining to the aerobics course, this paper introduces an innovative deep fusion algorithm for the compilation of such resources, aligned with the ideological and political framework of the course. Considering the characteristic path length of resource distribution topology structure, the data structure model of aerobics teaching resource information distribution is established, and the information characteristics of aerobics teaching resource are extracted. On this basis, the minimum editing distance of dynamic programming and Doc2vec model are used to fuse the information of teaching resources of aerobics courses with weights. Design the aerobics course teaching resource data table, store and manage the aerobics course teaching resource information after fusion processing. The test results show that the AUC-ROC value is 0.95 after the application of the algorithm, which is the best performance in the depth fusion of aerobics teaching resources information.