Student evaluation system

Abstract

The invention discloses a student evaluation system, which includes six models: among them, the learning attitude enthusiasm model, the post-graduation expectation model and the life pressure model are used to receive the corresponding index parameters of the predefined students, and use the perceptual calculation method to calculate the index parameters Carry out calculations to obtain the enthusiasm of the student's learning attitude, the expectation model after graduation and the evaluation results of life pressure; the learning-to-use degree model and the diploma-driven degree model are used to receive the corresponding index parameters of the predefined students, and use the fuzzy logic system to analyze the The indicator parameters are calculated to obtain the evaluation results of the student's degree of application and diploma driving degree; the crowd belonging model is used to receive the predefined student's crowd belonging index parameters, and the principal component analysis method is used to obtain the student's crowd belonging type. The implementation of the present invention can better realize the quantitative evaluation of the learning behavior from the understanding of the background of the students through each model, and then effectively identify various types of different students, and better promote personalized services.

Description

technical field [0001] The invention relates to the field of machine self-learning, in particular to a student evaluation system. Background technique [0002] The evaluation methods of traditional education are relatively single and scattered, such as obtaining a diploma through learning, or being forced by some realistic pressure. Now with the advent of the era of big data, some analysis can be performed based on large-scale student data, but the current big data analysis system is based on some specific topics, such as: point-controlled training based on micro-classes mentioned in CN104835373A The system involves a point-controlled training system based on micro-classes. The training system includes a server and a terminal device connected to the server network. The terminal device includes a smart phone, a computer, and a tablet computer. The training system includes The login module, the student interface, the teacher interface and the teaching administrator interface ...

AI Technical Summary

Problems solved by technology

[0003] However, there is currently no comprehensive multi-dimensional evaluation of the trainees based on big data analysis, and it is difficult to provide targeted guidance and assistance to various types of trainees

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