基于聚类分析的协同学习小组分组方法

摘要

Based on the concept of collaborative learning, two grouping methods of collaborative learning groups based on cluster analysis are proposed. To this end, firstly, this paper describes the group strategy, and then gives the concept of cluster analysis, variable selection, and two kinds of grouping patterns (one-time grouping and real-time grouping). The effectiveness analysis of the cluster grouping shows that the grouping method is effective, and meets the requirements of collaborative learning groups, "heterogeneity in group, and homogeneity between the groups.%在协同学习概念基础上,研究并提出了基于聚类分析的两种协同学习小组分组方法.为此,首先阐述分组策略；然后给出聚类分析概念、变量选择和2种分组模式(即一次性分组与实时分组).聚类分组的有效性分析表明,该分组方法是有效的,符合协同学习小组“组内异质,组间同质”要求.