A teacher training system based on big data

Abstract

The invention discloses a teacher training system based on big data, including: a teacher management platform, a background server, and a smart campus platform; the teacher management platform is used to select students suitable for teaching profession according to the established teacher education professional selection standards ; connect the college admissions system with the high school education management system, and screen out students who are interested in teaching by analyzing and evaluating the students' educational data; the back-end server is used to store the performance data of previous students; the smart campus platform is used to obtain students who enter the school All kinds of data to determine whether a student meets the professional requirements of normal students, and match and compare with the performance data of previous students stored in the database of the background server, judge the situation of students with similar background and grades to the student, and provide the student with More scientific professional selection suggestions. From the reform and innovation of training needs, course content, training mode, and evaluation methods, the integrated pre-service and post-service training of teachers is finally realized.

Description

technical field [0001] The invention relates to the field of teacher training, in particular to a teacher training system based on big data. Background technique [0002] At present, more teacher training is generally aimed at post-employment teacher training and process evaluation. The early enrollment and training process is completely lacking, and the problem of teacher training cannot be solved from the source. [0003] Traditional teacher training methods generally focus on post-service training of teachers, collect relevant information about teachers’ teaching, learning, and research, and finally generate teacher growth files, build teacher evaluation systems, form evaluation reports on teachers’ teaching quality, and establish teacher training programs. System, regular training for teachers. [0004] The traditional teacher training methods have the following disadvantages: [0005] (1) It is impossible to support normal colleges to refine the selection criteria for...

AI Technical Summary

Problems solved by technology

[0005] (1) Unable to support normal colleges to refine the selection criteria for normal students, the selection method is still measured by college entrance examination scores, ignoring the inspection of students' teacher quality and teaching willingness, resulting in low quality of teacher education students

[0006] (2) The curriculum system link has not been established. The current school curriculum system mainly relies on the experience judgment of subject experts and post-service teacher job requirements, which is highly subjective and lacks scientific basis

[0007] (3) There is a lack of a sharing mechanism for internship resources. Educational internships have problems such as short internship cycles, insufficient internship channels, and inadequate supervision by relevant departments. The internship link is often mere formality

[0008] (4) The training form is too single, the course content is out of practice, and the evaluation method is limited to the appearance, etc. The root cause of the problem is that they do not understand the real situation and needs of teachers.

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