数据挖掘技术在高职生成绩分析与预测中的应用

Exploration on Data Mining Applied in the Performance Analyses and Prediction About the Students in Vocational Colleges

作为能对数据进行有效分析与预测的数据挖掘技术,它的关联规则已经被教育界广泛应用于各类数据处理与分析的实践,尤其是对学生的成绩进行分析与预测。文章以江苏联合职业技术学院连云港财经分院2011级会计电算化专业学生的专业基础课和专业方向课成绩的分析与预测为例,结果发现:该院会计电算化专业学生的专业方向课的成绩略高于专业基础课,而在专业基础课成绩不及格的学生中,只有两成学生的专业方向课成绩通过努力才能及格,且取得"良"或是"良"以上的成绩的可能性极低。

As an effective data analysis and prediction data mining technology, its associative rules have been widely used in various types of educational data processing and analysis practice, especially used in the analysis and prediction of student achievement. The paper illustrates by the case the analysis and predicton of professional foundation courses and professional orientation courses achievement of 2011 Computerized Accounting students in Jiangsu Union Technical Institute. The results show that： scores of students in computerized accounting basic course are higher than those in professional orientation. In the students with failing grade, only 20% in the students who have failed in the professional basic courses can pass the courses while studying hard, and it is not easy from them to get a ＂good＂ or ＂excellent＂ result.