Learning report analysis system based on neural network

Abstract

The invention discloses a learning report analysis system based on a neural network. The learning report analysis system comprises a data acquisition module, a data quantification module and a systemtraining module, the data acquisition module determines the behavior dimension of a student to be analyzed, acquires student behavior data corresponding to the behavior dimension, and sends the student behavior data to the data quantification module; the data quantification module quantifies the student behavior data sent by the data acquisition module to obtain a behavior observation data value corresponding to the quantified student behavior data, and sends the behavior observation data value to the system training module; the system training module is used for training an initial learning report system by utilizing a neural network system according to the behavior observation data value to obtain a learning report analysis system based on a neural network; the purpose of generating thelearning report analysis system capable of performing high-latitude analysis by establishing the neural network is achieved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a learning report analysis system based on a neural network. Background technique [0002] At present, in the field of education, for each student in the school, it is usually necessary to formulate a learning report for each student, which requires the use of a learning report analysis system; the so-called learning report analysis system refers to the observation of student Some of the behaviors of students will finally get a comprehensive analysis of students through some algorithm. The traditional learning report analysis system is: first quantify the observed student behavior, and then analyze it by means of linear weights. The learning report analysis system using the above-mentioned processing method mainly has the following defects: which parts of the observed student behavior should be covered, and whether the linear weights configured for the above-mentioned co...

AI Technical Summary

Problems solved by technology

The learning report analysis system using the above-mentioned processing method mainly has the following defects: which parts of the observed student behavior should be covered, and whether the linear weights configured for the above-mentioned covered parts are reasonable. There is no unified standard for the above-mentioned similar issues, and they are all set up subjectively

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