Bayesian Knowledge Tracing

Bayesian Knowledge Tracing is an algorithm used in many intelligent tutoring systems to model each learner's mastery of the knowledge being tutored. Bayesian Knowledge Tracing is an algorithm used in many intelligent tutoring systems to model each learner's mastery of the knowledge being tutored. It models student knowledge in a Hidden Markov Model as a latent variable, updated by observing the correctness of each student's interaction in which they apply the skill in question. BKT assumes that student knowledge is represented as a set of binary variables, one per skill, where the skill is either masteredby the student or not. Observations in BKT are also binary: a student gets a problem/step either right or wrong.Intelligent tutoring systems often use BKT for mastery learning and problem sequencing. In its most commonimplementation, BKT has only skill-specific parameters.