28 students.
28 different Mondays.
Same room. Same lesson. Coursim's engine runs 28 live state machines – one per student – choosing the next question, the next hint, the next path, every few seconds.
The engine in one diagram.
After every single answer, Coursim runs this loop. In ~200ms. For every student on every device.
Route A · Level up
- Next question is 0.3 DOK levels harder
- Skip the "you got it" interstitial
- Track for extension-path eligibility
- Shorten the reading passage next lesson
Route B · Scaffold
- Slot in a targeted hint for the sub-skill
- Show a worked example before retry
- Lower difficulty by 0.2 DOK for 3 questions
- Keep the student in the flow zone
Route C · Reteach + Sage
- Pause the path – reteach the specific misconception
- Route to Sage with context: "you just missed X because Y"
- Resume path only after a variant is solved
- Flag teacher dashboard – "Hana needs a check-in"
12 signals. Every answer.
It's not just right-or-wrong. Coursim reads the whole situation – how long, how many hints, how confident – before it decides what's next.
Correctness
Right, partial, wrong – with the sub-skill pinpointed.
Response latency
Fast-and-right ≠ slow-and-right. Different next-steps.
Hint depth
0 hints, 1 nudge, or full reveal? All tracked.
Confidence tap
Optional self-rating after each answer.
Streak state
Last 5 attempts at this DOK level.
Scratch usage
Did they show work on the whiteboard?
Prereq mastery
Shaky on Q6? Maybe their L5 didn't stick.
Time of day
Post-lunch dip is real. Engine knows.
Session length
After 25 min, difficulty ramp softens.
Device & context
Phone on the bus needs lighter cognitive load.
Peer variance
Only signal tracked – never revealed to student.
Teacher override
Your judgment always beats the model. Always.
Sara's 22 minutes.
A real student arc – one lesson, timestamped. Every adjustment the engine made, and why.
Sara · Grade 7 · Ms. Torres's class
Entered 2 grade levels behind in May. Working through Ratios L7.confidence 0.72
route: more practice
sub-skill: 7.4A.2
→ resume path
DOK 1 → 2
hint depth: 1
confidence 0.89
next: L8 on track
What we're building toward: students who stay in the flow zone
- 📐 Methodology · not magic
- Engagement measured as median session-duration delta vs. same class's prior-year static LMS.
- Full study, raw cohort data, and IRB methodology available on request from
- the AI policy page Talk to us.
Want to see the engine run on your students?
Bring one lesson from your current curriculum. We'll plug it in live and show you the three differentiated paths it builds in under 5 minutes.