1
5 min
Warm up
Activate the prerequisite idea before the lab.
Answer one quick prompt about measurement.concept image
readiness signalprior knowledge
QLM LabPath
Today's path - Grade 6-8
Robots solve tradeoffs, not single goals
Operate a robot workcell and see why grip, path, speed, and sensors interact.
Ready0/5 activities complete
Preparing your daily path.
2
8 min
Learn the idea
Teach the concept before exploration.
Engineering quality comes from balancing constraints and testing consequences.process animation
concept exposurevocabulary check
3
15 min
Run the V10 lab
Can you tune the robot arm so it reaches the target safely without dropping or crushing the payload?
Save a prediction about whether grip, path, or speed will cause the failureinteractive primitiveImmersiveCanvas
predictionactionobservationexplanation
4
6 min
Explain what changed
Turn activity into evidence.
Explain precision handling under constraints using one observation from the lab.diagram
explanationrevision
5
6 min
Transfer
Check whether the idea moves to a new context.
Transfer the reasoning from Reach the Target to a different engineering situation with new variables.state machine
transfermastery update
AI media layer
Visuals, diagrams, animations, and simulator primitives for this concept.
LabPath prepares the instructional media before the lab: one concept visual, one process animation, one evidence diagram, and a state machine that mirrors the learner's reasoning loop.
Robots solve tradeoffs, not single goals concept visual
instructional first
large labelsone ideano decorative clutter
Robots solve tradeoffs, not single goals misconception repair visual
teacher summary
misconception visiblecorrection visibleno blame language
Robots solve tradeoffs, not single goals process animation
instructional first
step-by-stepstudent controlledpauseable
Robots solve tradeoffs, not single goals learning state machine
v10 lab
current state clearnext action clearcompleted states visible
Precision handling under constraints concept map6 diagram nodes4 animation frames7 evidence statesImmersiveCanvas + StationRotation
What must be demonstrated
predictionactionobservationexplanationrevisiontransferevidence
Learner balances robot settings using evidence from success and failure traces.
Mastery target 86%
- If mastery is below 86%, assign a repair lab for "Maxing one control is best."
- If explanation is strong but transfer is weak, choose a far-transfer mission tomorrow.
- If both explanation and transfer are strong, unlock the next prerequisite-dependent concept.
V10 lab modes available for the full LabPath curriculum spine.
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