This study explores how people can quickly learn new tasks with minimal instruction by applying the concept of rapid composition of cognitive skills, as modeled in ACT-R and PRIMs. The research uses unsupervised machine learning to analyze arithmetic learning data from Dutch vocational students, creating a skill graph to support a tutoring system.
