One tutor, one class
Every student runs their own MasteryModel — same BKT engine, same dependency graph. This view aggregates those per-student tracers into a single classroom picture, so a teacher can see who's stuck, where, and why, instead of relying on self-reported understanding one-on-one.
This is a simulated class of students working through Mentora's bundled photosynthesis demo lesson, generated locally in your browser to demonstrate how individual mastery models roll up to a class view — no student data is collected or transmitted.
Mastery heatmap
Rows are students, columns are concepts in dependency order. Darker green means higher mastery probability; red flags a concept a student hasn't cleared.
Where the class is stuck
Average mastery per concept across the whole class — the same weakest-link logic that drives individual recommendations, applied at class scale.
Students who need a check-in
Students below mastery threshold on a concept whose prerequisites they've already cleared — i.e. actively stuck, not just early in the sequence.