数据挖掘技术在高校课堂教学评价中的应用

Application of Data Mining Technology in Classroom Teaching Evaluation

数据挖掘技术目前在商业、金融业等方面都得到了广泛的应用,而在教育领域应用较少。数据挖掘中的关联规则挖掘能够发现大量数据中项集之间有趣的关联或相关联系,特别是随着大量数据不停地收集和存储,从数据库中挖掘关联规则就越来越有其必要性。文中从滁州学院教师档案数据库提取相关教师的记录,并结合课堂教学质量评估中的实际数据,利用改进的Apriori算法找出教师本身的素质与学生评价结果之间的内在关系。

Currently the data mining technology is extensively applied in commerce, finance, ete, whereas there is little application in education. The many interesting relations and relevance between the different items of sets can be located by means of the association rules mining technique of data mining. The mining of association rules from databases becomes especially necessary with the data in collection and storation becomes even larger. Extracts some records from teachers of Chuzhou university,and integrates true data in classroom teaching evaluation, and finds intrinsic relation between nature of teachers and result of student＇s evaluation make use of an improvement on Apriori algorithm.