Fuzzy-Based Clustering Genetic Group Model of Project Practice Teaching

被引:1
|
作者
Wan, Benting [1 ]
机构
[1] Jiangxi Univ Finance & Econ, Software Inst, Nanchang, Jiangxi, Peoples R China
关键词
Fuzzy Clustering; Genetic Algorithm; Project Practice; Teach Grouping;
D O I
10.1109/ICCSE.2009.5228570
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The grouping of software project practice teaching has very important valuable for improving teaching quality. Traditional grouping method, which based on grades of students, is probable that leads to grouping unreasonably, and it affect teaching quality of software project practice. In this paper the fuzzy-based clustering genetic grouping model is present, it makes use of fuzzy clustering to classify the students into types, and then it makes use of genetic algorithm(GA) to divide these classified students into several teaching groups. Fuzzy clustering method based on multi-course grades of student makes classes more abundant and GA makes teaching groups reasonably, so the model provides reliable proof for the software project practice teaching. The practice teaching result shows that the model greatly improves rationality for teaching of software project practice and it is accepted by students and teacher.
引用
收藏
页码:1484 / 1487
页数:4
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