Grade 12 · Week 05 · U1
Essential question: Which motion model best explains a real dataset?
Five complete daily lessons, safe native-JS lab, seven-round game, worked examples, vocabulary, teacher notes and randomized practice. Your original student evidence journal remains below.
A cart's position curve can be modeled in different ways.
Build an initial model and explanation for: Which motion model best explains a real dataset?
Record observations, questions, an initial model, and one claim that could be tested. Use these concepts where relevant: model; residual; fit; assumption; uncertainty.
Study and explain the week's core ideas: model; residual; fit; assumption; uncertainty
Teacher-approved motion-analysis resource.
Revise Monday's model. Add two evidence-backed annotations and explain one limitation or uncertainty.
Linear/quadratic fit and residual interpretation.
Show units, setup, calculation or graph reasoning, then write what the quantitative evidence can and cannot establish about: Which motion model best explains a real dataset?
Video analysis or simulation; student-generated motion data if safe.
Use the course safety charter. If supervision, facilities, materials, or conditions are not appropriate, use the supplied-data/simulation alternative rather than improvising hazardous procedures.
Record variables or design constraints, procedure/model, observations/data, and one revision you would make after reviewing the evidence.
Answer the essential question: Which motion model best explains a real dataset?
Submit a claim, at least two specific pieces of evidence, reasoning that connects them, one limitation/counterclaim, and a correction note for any essential concept below 80%.
Select one artifact from this week and explain why it is trustworthy evidence of growth.