The invention discloses a method for processing big data of teacher education and training materials, and relates to the field of education technology. By adopting a classification algorithm model, the classification ability of large-scale processing of teacher training materials is improved, the difficulty for teachers to query training materials is reduced, and the processing of big data is improved. Through the use of big data dimensionality reduction technology, the high-dimensional transformation of big data is realized, which makes it easier for users to identify the target text information, and improves the data interaction ability and the teaching or training efficiency of teachers. By using the interactive learning model, the application of knowledge acquisition, knowledge absorption and knowledge integration is realized, and the interactive multi-model IMM algorithm is introduced to realize the conversion between different learning models. Through the calculation of this algorithm, the interaction of the interactive learning input model is realized. , interactive learning filter filtering, interactive learning probability model update and interactive learning model new data fusion, etc., through the use of B / S architecture, real-time, online and remote application of data is realized.