Method for assessing teacher practical skills based on neural network technology

Abstract

The invention provides a method for assessing teacher practical skills based on a neutral network technology. The method adopts the neural network technology, fuzzy mathematics and computer technology. The method also adopts an information index system, a fuzzy processing module and a neural network assessment module, wherein the information index system is used for selecting the characteristic value of the information index system according to the characteristics of the practical ability of the teacher professional in automobile; the fuzzy processing module is used for performing fuzzy processing to the characteristic value and setting the weight of the characteristic value; and the neutral network assessment method is used for adopting the fuzzy characteristic value of the information index system as the input value of the neural network, and assessing the level of the practical skills of the teacher professional in automobile through an established BP (Back Propagation) neural network assessment system according to the amount of the unit value of an output layer of the neural network. The method has the advantages that the level of the practical kills of the teacher professional in automobile can be quickly and accurately assembled, and thus a data support is provided to the administration section of a school to make a decision. The method can be widely applied to assessment of practical skills of teachers professional in various fields.

Description

Technical field: [0001] The invention is a method for evaluating teachers' practical skills, which can evaluate the practical ability level of automobile professional teachers through neural network technology. The technical fields include neural network technology, fuzzy mathematics, computer technology, etc. Background technique: [0002] At this stage, the evaluation methods for teachers' practical ability are still relatively backward, there is no unified standard, and the selection of evaluation feature values ​​is also very simple, and there is no setting of its weight in the practical skill evaluation system according to the importance of feature values. The evaluation method of teachers' practical ability is only to statistically analyze the status of teachers' practical skills in the form of surveys by filling in forms, writing narratives, etc., and cannot evaluate the level of teachers' practical skills. Invention content: [0003] The problem that the present i...

AI Technical Summary

Problems solved by technology

[0002] At this stage, the evaluation methods for teachers' practical ability are still relatively backward, there is no unified standard, and the selection of evaluation feature values ​​is also very simple, and there is no setting of its weight in the practical skill evaluation system according to the importance of feature values

The evaluation method of teachers' practical ability is only to statistically analyze the status of teachers' practical skills in the form of surveys by filling in forms, text descriptions, etc., and cannot evaluate the level of teachers' practical skills

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