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A new method for students' learning achievement evaluation based on the eigenvector method

机译:基于特征向量法的学生学习成果评价的一种新方法

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This paper presents a new method for students' learning achievement evaluation based on the eigenvector method. The proposed method transforms the attributes “accuracy rate” and “time rate” into the “effect of accuracy rate” and the “effect of time rate”, respectively. Then, it generates the relative important degrees of the attributes “effect of accuracy rate”, “effect of time rate”, “importance” and “complexity” based on the eigenvector method, respectively. Then, it uses the correlation coefficients between the attribute vectors and the standard deviations of the elements in the attribute vectors to calculate the fitness degrees of the attributes. Then, it generates the weights of the attributes based on the relative important degrees of the attributes and the fitness degrees of the attributes. Then, it generates the important degrees of the questions according to the weights of the attributes and the relation matrix representing the relationships between the questions and the attributes. Based on the important degrees vector of the questions, the grade matrix and the accuracy rate matrix, it calculates the learning achievement index of each student having the same original total score for students' learning achievement evaluation. The proposed method provides us a useful way for students' learning achievement evaluation based on the eigenvector method.
机译:本文介绍了基于特征向量法的学生学习成果评价的新方法。所提出的方法将属性“精度率”和“时间速率”转换为“精度率的效果”和“时间率的效果”。然后,它产生了基于特征向量方法的特征“精度率”,“时间率”,“重要性”和“复杂性”的相对重要程度。然后,它使用属性向量和属性向量中元素的标准偏差之间的相关系数来计算属性的适应度。然后,它基于属性的相对重要程度和属性的适应度生成属性的权重。然后,它根据属性的权重和表示问题与属性之间的关系的关系矩阵生成重要程度。基于问题的重要程度,级矩阵和精度率矩阵,它计算了学生学习成就评估的同一原始总分的每个学生的学习成就指数。该方法为基于特征向量法提供了学生学习成果评估的有用方式。

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