As it was described in the paper, they split student population in 5 disjoint groups and cross-validation is made on this basis. Every feature weight and embedding components follow a normal prior distribution. They implemented their models in python. DAS3H was compared DASH, IRT, PFA, and AFM for 0, 5 and 20 embedding dimensions. Three datasets were used in their experiments: ASSISTments (assist12), Bridge to Algebra (bridge06) and Algebra I (algebra05).