A big data processing method for teacher education and training materials

Abstract

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.

Description

technical field [0001] The present invention relates to the field of education technology, and more particularly to a method for processing big data of teacher education and training materials. Background technique [0002] In the education and training of teachers in 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, teachers teach as an example. , usually using courseware to impart teaching knowledge to students through multimedia technology. In the face of many data in the database, it is difficult to find complex data quickly and classify training materials. Manual retrieval methods are not only inefficient and error-prone, and the detection results are often unsatisfactory. [0003] With the rapid development of the network information age, computer applications and b...

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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