BKT parameters

Guess probability g: 0.20 Slip probability s: 0.10 Learning rate T: 0.15 Mastery goal: 0.95

Selection policy

Session

Auto-run speed: 1.0×

Last question

Skill picked—

Why—

Result—

P(mastery) before→after—

Session stats

Questions answered0

Rolling accuracy (10)—

Skills mastered0 / 5

Mean mastery—

Bayesian Knowledge Tracing keeps a hidden-state estimate P(L) per skill and updates it with Bayes' rule after every answer using the guess/slip parameters, then applies a learning-rate transition. The selection policy re-ranks all five skills by their live estimate to choose the next question.