TRANSPARENT ADAPTATION

No black box.
Show the rule.

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.

01

Diagnose

Collect evidence from short skill-tagged questions.

02

Estimate

Calculate observed accuracy by skill. This is evidence from the current attempt, not a claim about the whole learner.

03

Recommend

Prioritize the lowest-scoring measured skill. Ties follow the diagnostic skill order.

04

Reassess

Future practice cycles will update mastery evidence as the learner demonstrates new understanding.

Try the diagnostic →