基于块模型的大学生学习网络子群研究

Study on College Students' Subgroups of Learning Networks Based on Block Model Method

当代大学生的学习依赖于学习网络的构建,利用社会网络结构解释具体学习行为是一种有意义的探索。文章从社会网络结构对等性出发,利用块模型方法对两个大学班级的学习网络子群进行量化分析,从个人属性、位置层次和整体层次三个层面对量化结果进行质性分析,发现大学生学习网络子群内部联系非常紧密,个体的性别属性和寝室属性在子群内部表现出很强的系统性,块模型可以有效地解释大学生学习网络子群的位置及其间的关系。

In the digital era, connectivism learning theory is a more effective learning guidance strategy, college students＇ learning is more dependent on the construction of the learning network, to explain specific learning behavior with social network structure is a meaningful exploration. From the perspective of the structure equivalence of social network, block model method was used for quantitative data analysis of learning network subgroups of two college classes, then this paper implemented the qualitative analysis from the three levels of personal attribute, position level and whole levels, found that internal links was very close in the subgroups of learning networks and bedroom property reflected the strong system in the subgroups, and the block model method can be effectively used to explain nodes＇ location and relationship in the subgroups of learning networks in some ways.