Home › How-to guides › Read mastery data

How-to guide

How to read mastery data

The Students tab turns every answer into a grid. It helps you decide who to sit with and what to reteach, provided you know what a coloured cell does and does not mean.

Open a course and go to the Students tab. You see four numbers at the top and three views below them. Start with the numbers, then the views, then one student.

The four cards

Careful with the last two. They count pairs, not students. Ten students with three skills each is thirty pairs. One student who has not started anything can add many to Needs Attention.

The Mastery Heatmap

One row per student, one column per skill, each cell coloured by state with a percentage. The legend reads Not started, Struggling, Developing, Approaching, Mastered. There is an Avg column, and you can sort by name or by mastery.

Read it in two directions:

How a skill gets its state

Every answer updates a score for that student on that skill. Recent answers count more than old ones, harder questions count more, and using hints lowers the credit. Roughly, as the code stands today:

Mastered skills come back later for a quick check, so you can tell whether they stuck. These thresholds can change as the product changes, so treat the colours as a guide, not a grade.

Gap Analysis

This view lists skills with the lowest class average first, and under each says how many students are struggling or have not started. It is the fastest way to choose what to reteach or review. It is the list to use when you run a review game.

Recommendations

This view turns the same numbers into plain suggestions, in priority order. It is rule-based, not AI. A skill with a class average under 30% gets a Reteach note, under 60% a Reinforce note, a student whose overall mastery is under 25% gets a Check in note, and students at 85% or more may get an excelling note. It is a prompt to look, not a diagnosis. You know things the numbers do not.

One student

Click a row. You see every skill with attempts, correct answers, the score and the state, then Recent Activity: right or wrong, the mode they used, time spent and the date. A run of quick wrong answers looks different from slow wrong answers. The first often means guessing, the second means trying and failing.

Override

If you know something the data does not, such as a student who showed mastery on paper, use Override next to a skill. Choose a new state (Mastered, Approaching, Developing, Struggling, Not started or Exempt), write a reason (required) and press Apply Override. The student's page then shows Override active on that skill, so it is clear the state was a teacher decision.

What not to conclude

Common questions

What do the heatmap colours mean?

The legend shows five states: Not started, Struggling, Developing, Approaching and Mastered. Each cell also shows the percentage.

How many answers before a skill can be Mastered?

At least five, at about 85% or better, so one lucky streak does not count.

Is the Recommendations view AI?

No. It applies simple rules to the class numbers, such as class average under 30% or 60%, and lists suggestions by priority.

Can I change a student's state?

Yes. Use Override next to the skill, choose a new state and give a reason. The reason is required, and the student's page shows Override active.

Start with one unit you already teach.

Upload it, see what comes back, and decide for yourself. Your first 30 days are free, then nineteen dollars a month with unlimited students.

Create your account

No card needed to start. Read, edit or remove anything it makes.