One student. One subject. Fully mapped.
A detailed walkthrough of a BrightMap Learning DNA profile — Ahmed, Grade 9, Physics, Term 2. Every score below is illustrative sample data, built to show stakeholders exactly what the platform surfaces for a real student. The underlying mechanism — mastery tracking, AI-graded evaluation — is real; Ahmed himself is not.
Ahmed
IllustrativeGrade 9 · Physics · Term 2
Thirteen Physics topics, individually scored.
Not one Physics grade — thirteen. A teacher sees exactly where Ahmed stands in each topic, at a glance.
Newton's Laws
Mastered
Kinematics
Mastered
Work & Energy
Mastered
Momentum
Mastered
Waves & Sound
Needs revision
Gravitation
Needs revision
Optics
Needs revision
Thermodynamics
Needs revision
Electrostatics
Needs revision
Circular Motion
Weak
Current Electricity
Weak
Magnetism
Weak
Electromagnetic Induction
Critical
Physics, modeled as a graph — not a chapter list.
Every topic sits inside a branch of the Knowledge Graph, connected by prerequisite relationships.
Electromagnetic Induction — six scores, one concept.
Instead of a single 38%, BrightMap breaks the concept down into six independent, continuously-updated scores — showing a teacher exactly why the score is low, not just that it is.
Raw factual recall of flux and induced EMF
Student rates this as their least certain topic
Lowest practice volume of any Physics topic this term
Decays faster than average — see decay curve
Intrinsically difficult for this student vs. peers
Composite score — flagged critical
Retention Decay — 30 Days
Ahmed scored 72% right after the lesson. Without reinforcement, retention decayed to 38% by day 30 — which is why the Roadmap Engine schedules a refresher now, rather than waiting for the next exam to reveal the gap.
Weak in Electromagnetic Induction? Check Magnetic Flux first.
The Knowledge Graph traces the dependency chain behind the concept, so remediation targets the true root cause instead of re-drilling the symptom.
A five-day plan, generated automatically.
The Roadmap Engine sequences remediation starting upstream in the dependency chain — fixing the root cause before the next assessment.
Magnetic Flux Refresher
Re-teach the core definition with worked examples.
Faraday's Law Practice
5 targeted problems, immediate AI feedback.
Lenz's Law Application
Direction-of-induced-current drills.
Mixed Problem Set
Combines flux, Faraday, and Lenz in context.
Concept Re-Assessment
Micro-assessment confirms mastery gain before moving on.
Magnetic Flux Refresher
Re-teach the core definition with worked examples.
Faraday's Law Practice
5 targeted problems, immediate AI feedback.
Lenz's Law Application
Direction-of-induced-current drills.
Mixed Problem Set
Combines flux, Faraday, and Lenz in context.
Concept Re-Assessment
Micro-assessment confirms mastery gain before moving on.
The same profile, translated for three audiences.
Ahmed has mastered Mechanics and Waves but is at critical risk in Electromagnetic Induction and Current Electricity. Recommend a hands-on circuit demo before the next assessment — the Knowledge Graph traces this back to a shaky grasp of Magnetic Flux.
Ahmed is doing great across most of Physics! Electricity & Magnetism topics need a bit more practice at home — a short daily review of the roadmap below would help a lot.
You're crushing Mechanics! Let's spend 10 minutes today on Magnetic Flux — your AI Tutor has a quick refresher queued up and ready.
Predicted trajectory, not just a current score.
If Ahmed completes the five-day roadmap above, BrightMap's predictive model forecasts Electromagnetic Induction mastery rising from 38% to approximately 65% before the next assessment — with overall Physics mastery moving from 68% toward 74%.
This is one student, in one subject.
Every student, in every subject, gets a profile this detailed — continuously updated, automatically. Let's talk about what this looks like for your school.