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…

Examines the effects of learning words grouped in semantic sets, using Japanese words paired with artificial words. A principal finding was that there was a main effect against learning semantically related words at the same time. The article concludes that presenting students with wordlists of new words in semantic clusters, rather than in…