Teacher education training teaching material big data processing method

Abstract

The invention discloses a teacher education training teaching material big data processing method, and relates to the technical field of education. By adopting a classification algorithm model, the classification capability of teacher training teaching material large processing is improved, the difficulty of querying training teaching materials by teachers is reduced, the big data processing capacity is improved, and high-latitude conversion of big data is realized by adopting a big data dimension reduction technology, so that users can identify target text information more easily, and the data interaction capacity and the teaching or training efficiency of teachers are improved. Through an interactive learning model, knowledge acquisition, knowledge absorption and knowledge integration application are realized; an interactive multi-model IMM algorithm is introduced to realize the conversion between different learning models; the interactive learning input model interaction, the interactive learning filter filtering, the interactive learning probability model updating, the interactive learning model mode new data fusion and the like are realized through the calculation of the algorithm; and the real-time, online and remote application of the data is realized by adopting a B / S architecture.

Description

technical field [0001] The present invention relates to the field of educational technology, and more specifically relates to a method for processing big data of teaching materials for teacher education and training. Background technique [0002] In the teacher education and training of primary and secondary schools, universities and other institutions, a large amount of data information is prone to appear. These data have many benefits for the communication between teachers and the learning between students. In conventional technology, take teachers teaching as an example , usually using courseware to impart teaching knowledge to students through multimedia technology. In the face of a large number of data in the database, it is difficult to quickly find complex data and classify training materials. The manual retrieval method is not only inefficient, but also prone to errors, and the detection results are usually unsatisfactory. [0003] With the rapid development of the...

AI Technical Summary

Problems solved by technology

In the face of a large number of data in the database, it is difficult to quickly find complex data and classify training materials

The manual retrieval method is not only inefficient, but also prone to errors, and the detection results are usually unsatisfactory

[0003] With the rapid development of the network information age, computer applications and big data processing are widely used in life and work. Internet technology is gradually applied in teacher education and training. In the process of teaching and training interaction, a large amount of text data appears. The number of data information resources has also increased rapidly at an exponential rate. In the massive data of teacher education and training textbooks, it is easy to have some data with low information content and huge data scale, which is extremely unfavorable for teacher education and training.

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