Bilgin, Turgay Tugay2024-07-122024-07-1220120949-149X2-s2.0-84861621816https://hdl.handle.net/20.500.12415/8092In this study a new framework especially designed for educational data mining has been proposed and named as Visual Cluster Exploration Framework (VCEF). It differs from existing alternatives such as parallel coordinates and icon based projections in terms of dealing with the curse of dimensionality, parameter free design and ease of use. The visualization subsystem of the VCEF employs a novel visualization technique which is called as SD-plots. The results in both synthetic and real life data sets demonstrate that the approach is highly effective and helps educators to discover clusters easily. The results could be used to organize well-balanced student groups to improve the active learning in engineering classes.eninfo:eu-repo/semantics/closedAccessdata miningvisualizationclusteringeducational data miningArticle7543Q374428WOS:000303758100024Q4