A backpropagation neural network based method for learning effect synthetic evaluation

被引：0

作者：

Cai, Zhangli ^{[1
]}

Shi, Weiren ^{[1
]}

Fan, Min ^{[1
]}

Lin, Dan ^{[1
]}

机构：

[1] Chongqing Univ, Coll Automat, Chongqing 400044, Peoples R China

来源：

DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2006年 / 13E卷

关键词：

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The targets, Difficulty, Reliability and Division, are used to reflect the examination paper's quality. It is worth to discuss the problem how to objectively evaluate the student's learning effect by synthesizing the examination score and the above targets. In this paper, we discuss the relationship between the paper quality targets and the examination score, and design a learning effect synthetic evaluation model based on backpropagation neural network, and verify the model's evaluation effect by simulating in MATLAB. The research purpose is to supply a method objectively evaluating the student's learning effect for teachers.

引用

页码：4014 / 4017

页数：4

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