Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…

This study tests the temporal stability and the concurrent and predictive validity of the Emotional and Personality-related Career decision-making Difficulties (EPCD) model and questionnaire. Five hundred forty-three participants filled out the EPCD twice, 3 years apart. The Anxiety cluster was the most stable of the three, followed by the…

Relational personality theorists propose that women have a tendency to view themselves in the context of relationships with others and to make decisions to optimize and maintain relationships. The current study explored whether relational identity may underlie women's career interests as measured by Holland's typology and examined possible…

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…