基于数据驱动的大学生培养质量评价分析

Data driven technology based training quality evaluation analysis of college students

针对大学生培养质量采用加权平均法评价,弱化了部分评价指标的重要程度,导致评价结果不可靠,提出一种新的基于数据驱动的大学生培养质量评价方法。构建数据驱动模型,将系统状态变量作为模型的输入与输出,通过系统数据特征建立系统状态变量间的映射关系。选用由三个层次组成的评价指标体系,通过最小二乘意义下的主客观权重组合法确定各指标权重。利用多层次模糊逻辑关联聚类评价方法实现对大学生培养质量的评价。实验结果表明,采用所提方法对大学生培养质量进行评价,评价结果科学可靠,与实际评价结果的一致性较高。

The weighted mean method used to evaluate the college students training quality weakens the importance degree of some evaluation indexes,which leads to the unreliable evaluation results.Therefore,a new college students′training quality evaluation method based on data driven technology is proposed.The data driven model is constructed.The system state variables are considered as the input and output of the model.The mapping relation between the system state variables is established ac-cording to the system data characteristics.The evaluation index system composed of three levels is selected.The weight of each index is determined by means of the subjective and objective weights combining method in the sense of least squares.The multi-layer fuzzy logical association clustering evaluation method is used to evaluate the training quality of college students.The experi-mental results show that the proposed method used to evaluate the training quality of college students has scientific and reliable evaluation result,which is consistent with the actual evaluation result.