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针对中等职业学校招生规模的不断扩大的现象,提高中职生源质量已经成为各培养单位的重点工作。传统的生源质量分析主要是计算考生成绩的均值、方差、区分度等,仅对单个独立的数据进行分析,无法获取数据间的有价值信息。本文将数据挖掘关联规则应用于分析中职学校学生入学成绩、在校生学习成绩、就业状况和生源质量之间的内在关系,找出对影响招生质量有价值的信息,为招生政策的制定提供参考。
In view of the expanding enrollment of secondary vocational schools, improving the quality of secondary vocational students has become the focus of all training units. The traditional quality analysis of students is mainly to calculate the average, variance and differentiation of test scores. Only a single independent data can be analyzed, and valuable information can not be obtained. In this paper, we apply the data mining association rules to analyze the internal relations between students’ academic performance, job performance, and student quality in secondary vocational schools, and find out the valuable information on the quality of student enrollment. .