基于数据挖掘技术的本科教学智能化评估方法的研究与应用

Study on Intelligent Method of Teaching Evaluation Based on Data Mining of Undergraduates

由于本科教学水平评估对象和因素众多且关系复杂,在海量的教学数据中提取出对评估有用的信息具有一定的困难。在研究教学评估相关指标体系和特点的基础上,提出了基于数据挖掘技术智能教学评估思想,并进行了教学评估Teaching_Evaluation智能化方法的设计和"优秀毕业论文"评选的实验。结果表明Teaching_Evaluation智能化方法能提取出隐藏在评估数据中有用的规律和知识,为教学评估提供高效化、网络化和智能化的决策支持。

As there are large amounts of evaluated objects, factors and complex relations, it is very difficult for us to find the useful information from the database. After the guideline system and characteristic are studied, the intelligent teaching evaluation method based on data mining technology is brought forward to solve this problem. The intelligent teaching evaluation method （Teaching Evaluation） is designed and the experiment of the excellent thesis are chosen. The result shows that Teaching Evaluation method brings out the useful information that is hidden in the database to provide some efficient, networking and intelligent support to decision making.