The Additive Factors Model (AFM), a widely used model of student learning, estimates students’ prior knowledge, the difficulty of tutored skills, and the rates at which these skills are learned. In contrast to Bayesian Knowledge Tracing (BKT), another widely used model of student learning, AFM does not have parameters for the slipping rates of learned skills; i.e., it does not explicitly model ...