聚类在合作学习分组中的应用

Application of Clustering in Cooperative Learning Grouping

分好学习小组,是合作学习顺利进行的前提。而构建合作小组也要有科学依据,要合理可行。本文根据聚类的特性"物以类聚,人以群分",在分组中,依据学生的知识基础、学习能力、学习态度、性格特征、兴趣爱好和性别六个特征,利用K-Modes聚类算法的分类特性,将班级学生划分聚类;根据聚类结果,抽取各类中成员,再结合教师的综合决策和学生们自己的认可,最终构建小组成员。本文引入了聚类的概念,应用到合作学习分组中,结果充分体现了"组内异质,组间同质"的分组原则。

Setting up appropriate learning groups, is the first dement of group cooperation learning. Building groups should be according to the scientific theories and be feasible. This paper leads into clustering, which trait is that things of one kind come together, and man live in gang. In the process, there are six features： the foundation of knowledge, the ability of learning, the attitude of learning, character, hobby and sex. Using the characteristic of K-Modes clustering algorithm and partition the students, then there will be clustering results. Connect with the teacher＇s decision-making and the students＇ recognizing, it created diversity in a group and homogeneity with groups, which manifests the rule of grouping effectively.