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Luan, Jing – Association for Institutional Research (NJ1), 2006
This exploratory data mining project used distance-based clustering algorithms to study three indicators of student behavioral data collectively called AB-Index, and established a typology of six types of learners for a suburban community college. The study is based on the notion that student behavioral data are a good basis for new ways of doing…
Descriptors: Information Retrieval, Student Behavior, Cluster Grouping, Course Selection (Students)


