大学生学习过程评价体系框架研究

Yu He, Wan Nana, Xiujuan Wang
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引用次数: 0

摘要

构建大学生学习过程评价体系,可分为目标层、标准层和子标准层三个层次。标准层有五个一级指标,分别是学习过程的个性化、学习分析的个性化、学习的耦合性、学习过程的自主性和学习过程的创造性。在子标准层中有17个二级指标。建立良好的层次结构是运用层次分析法解决问题的前提。分析问题的基础是将各种影响因素分层,构建一个多层次的结构。确定各要素之间的关系,根据上层对下层因素的控制关系,对影响因素进行分层,然后构建上下级层次结构模型,采用几何平均法计算专家的平均值。几何平均法保证了矩阵的互反性。通过对数据进行排序得到6个判断矩阵,利用MATLAB工具计算每个判断矩阵各层指标的权重值,并进行一致性检验,得到各层指标的权重值,判断矩阵已通过一致性评价,实现了系统的总体目标并提出了各项措施,进行决策
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Framework of the Evaluation System of College Students' Learning Process
: To construct the evaluation system of college students' learning process, there are three layers: target layer, criterion layer and sub-criterion layer. There are five first-level indicators in the criteria layer, which are the individuation of learning process, the individuation of learning analysis, the coupling of learning, the autonomy of learning process and the creativity of learning process. There are 17 secondary indicators in the sub-criteria layer. The establishment of a good hierarchical structure is the premise of using AHP to solve problems. The basis of analyzing problems is to build a multi-level structure by layering various influencing factors. To determine the relationship between the elements, and according to the controlling relationship of the upper layer to the factors of the lower layer, the influencing factors are hierarchical, and then the hierarchical structure model of the upper layer and the lower layer is constructed, the geometric average method is used to calculate the average of the experts. The geometric average method ensures the reciprocal character of the matrix. Six judgment matrices are obtained by sorting the data, using MATLAB tool to calculate the weight value of each layer index of each judgment matrix, and carry on the consistency test, obtain the weight value of each layer index, the judgment matrix has passed the consistency evaluation, to achieve the overall objectives of the system and put forward all the measures, decision-making
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