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Project practical teaching grouping strategy based on fuzzy clustering algorithm

机译:基于模糊聚类算法的项目实践教学分组策略

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Project practical teaching has an important significance to enhance students' practical ability and is also an important part in teaching reform in colleges and universities, however, there is lacking of scientific strategies to grouping students in project practical teaching. Therefore, a new optimal grouping strategy which based on fuzzy clustering algorithm is proposed in this paper, the grouping strategy, which on basis of scores of students' previous professional curriculums, uses fuzzy clustering algorithm to establish equivalent relation and classifies students into different classes, then grouping the students on the classification result by uses heterogeneous grouping method. The example in this paper shows the strategy has a good guiding significance for project practical teaching, and be unanimous approved by all the students and teachers.
机译:项目实践教学对提高学生的实践能力具有重要意义,也是高校教学改革的重要组成部分,但是,缺乏科学的策略将学生分组进行项目实践教学。因此,本文提出了一种基于模糊聚类算法的最优分组策略,即基于学生以往专业课程成绩的分组策略,采用模糊聚类算法建立等价关系并将学生分为不同的类别。然后使用异类分组方法对学生进行分类。本文的算例表明该策略对项目实践教学具有很好的指导意义,并得到了全体师生的一致认可。

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