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What is Clustering Student Activity in Online Learning about?

The paper presents a new agglomerative hierarchical clustering method, named single linkage dissimilarity increment distribution-global cumulative score standard (SLG), for modeling student activity in online learning. This method outperformed conventional clustering techniques, achieving high validity index scores across multiple datasets. The research highlights the complexity of online learning behaviors and the need for improved clustering methods to accurately reflect student interactions and performan

Author

2211110012

Language

EN