Decision engine

How Mentora decides what to practise next.

Mentora is not just marking answers. It reads accuracy, timing, and syllabus links together, then chooses the task most likely to move the student forward.

Every answer updates the path.

Correct + fast
Move forward
Correct + slow
Review fluency
Wrong pattern
Repair the prerequisite

One next task, chosen from the student's current readiness.

Answer signals

The same score is not always the same learning state.

Two students can both get a question right and still need different practice. One may be ready to stretch; the other may need fluency before the method becomes reliable.

Correct + fast

Move forward

The current skill is secure enough to unlock a harder task.

Correct + slow

Review fluency

The idea is forming, but speed is not reliable enough yet.

Wrong + fast

Check the broken step

A fast miss can point to a misconception or careless pattern.

Wrong + slow

Repair the foundation

A slow miss often means the prerequisite needs attention first.

Prerequisite map

The decision uses the course map, not just the latest question.

If quadratic graphs are shaky because factorisation is weak, more graph questions may not help yet. Mentora can step back to the smaller missing skill, repair it, then return to the harder topic.

Current skill

What the question was actually testing.

Prerequisites

Earlier skills needed to solve it cleanly.

Dependents

Later topics that become harder if this skill stays weak.

Review status

Whether an older skill is fading and needs to reappear.

Accuracy is not enough

A correct answer can still be fragile if it took too long or depended on too much trial and error.

Concepts are connected

One question can update the current skill, earlier prerequisites, and later topics that depend on it.

Fragile skills return

A concept can come back as review before it becomes a bigger gap inside a harder topic.

The next task has a job

Each task is selected to repair, review, check readiness, or move the student forward.

Example path

Factorisation first. Quadratic graphs after.

The goal is not to slow the student down. It is to choose the shortest repair that makes the next important skill reachable.

Missed graph question

The student gets a quadratic graph question wrong.

Map check

The system checks linked prerequisites and finds factorisation is unstable.

Repair task

A short factorisation set rebuilds the missing method.

Readiness check

A faster attempt confirms the repair is holding.

Return to graphs

Quadratic graphs come back when the prerequisite can carry them.

What people see

One decision creates different useful views.

The same learning signal is translated for the person using it: a task for the student, confidence for the parent, and focus for the tutor.

Student

One focused task to do next, instead of a long unsorted worksheet.

Parent

A clearer view of which gap is being repaired and whether practice is helping.

Tutor

Evidence for where the next session should spend time.