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.