KHAEMENES ACADEMY · PHYSICS 12 · WEEK 01 · DAY 05

Physics Readiness Synthesis

Integrate units, vectors, graphs, and uncertainty into a defensible measurement argument.

Explicit physics instruction

The Week 01 toolkit is used throughout Physics 12: define a system, choose coordinates, measure with units, represent vectors, graph relationships, and state uncertainty.

A strong quantitative solution is more than arithmetic. It names assumptions, preserves units, checks direction/magnitude, and connects the result to evidence.

Corrections are part of the record. Preserve one initial error and annotate how the model or calculation changed.

Vocabulary: quantitative model; assumption; unit audit; evidence; revision.

Worked example with reasoning

Claim: an object’s average velocity is 3.0 m/s east. Evidence: calibrated position changed +12.0 m over 4.0 s. Reasoning: v=Δx/Δt=+3.0 m/s, and the positive sign follows the declared east-positive axis.

Guided question

Write a CER-style quantitative explanation using one vector measurement and one graph slope.

Independent work

  1. Complete a mixed unit/vector/slope problem.
  2. Perform a unit and sign audit.
  3. Write one uncertainty statement.
  4. Record one corrected misconception.

Spiral readiness bridge

  1. Convert 72 km/h to m/s.
  2. Find the resultant of 3 m east and 4 m north.
  3. Explain precision versus accuracy.
  4. State why a coordinate convention must be declared before reporting a signed vector.

Misconception check

A numerically correct answer with missing units, direction, or assumptions can still be scientifically incomplete.

Formative understanding check

What four checks should accompany a quantitative physics result?

Reveal response

Units, direction/sign where relevant, assumptions/model scope, and consistency with the evidence.

Mentor evidence conference

Ask Archaemenes to audit units, assumptions, coordinate choices, and evidence limits.

Teacher guidance

Foundation: Use a four-check solution template.

Core: Integrate vectors, graphs, and uncertainty.

Extended: Defend model choice using residuals and measurement limits.