Grouping approach of learning team based on social networkanalysis and multidimensional feature clustering
结合社会网络分析和多维特征聚类的学习小组划分方法

This paper presented a learner feature model considering learning capacity, learning status and cooperation ability by introducing social network analysis. Employing the fuzzy similarity and fuzzy equivalent operations, it put forward a grouping approach of learning team, in which learning leader candidate were identified by using dynamic multi-level fuzzy clustering method, and iterative grouping could be achieved compromising learners of different levels. Finally, the experiment proves that this approach can enhance accuracy of learning team grouping with self-adaptability.