Diagnose
Collect evidence from short skill-tagged questions.
The first LauraLearners adaptive engine is intentionally simple: measure a small set of skills, identify the least-secure measured skill, recommend targeted review, then reassess.
Collect evidence from short skill-tagged questions.
Calculate observed accuracy by skill. This is evidence from the current attempt, not a claim about the whole learner.
Prioritize the lowest-scoring measured skill. Ties follow the diagnostic skill order.
Future practice cycles will update mastery evidence as the learner demonstrates new understanding.