Research on teaching evaluation system based on data mining

被引：0

作者：

Zhang, Chao ^{[1
]}

机构：

[1] Bozhou Univ, Elect & Informat Engn Dept, Beijing, Peoples R China

来源：

AGRO FOOD INDUSTRY HI-TECH | 2017年 / 28卷 / 01期

关键词：

Data mining; teaching evaluation system; ANALYTICS;

D O I：

暂无

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Teaching quality is an important index to evaluate the teaching quality of an institution. In the past, the evaluation of teaching quality was only limited to students' performance and text evaluation. Nowadays, people apply data mining to the teaching evaluation system. In view of this, in this paper, teaching evaluation system based on data mining was studied and analyzed. Firstly, the teaching evaluation system was defined and analyzed by applying the Analytic Hierarchy Process and the student fuzzy comprehensive evaluation method. Then, the comprehensive evaluation results of teacher evaluation system were analyzed. The results show that improving the shortcomings of teaching in teaching evaluation system can help improve the quality of teaching.

引用

页码：2641 / 2645

页数：5

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