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…

Findings from the Student Attribute Study, a two-year investigation designed to identify student characteristics and behaviors related to teacher expectations and attitudes are reported. Children in grades two through five who received consistent teacher rankings over a two-year period on one or more of 13 bi-polar scales describing student…

This study determined whether or not there were significant differences between ratings of parents and teachers on the Adaptive Behavior Scale, Public School Version. Interviews with parents of approximately 150 white and Spanish-surnamed children from 7 to 12 years assigned to educable mentally retarded (EMR) classes were used in conjunction with…