Assessment boundary
This page contains public formative support only. It does not expose protected final questions, answer keys, grading logic, or authentication details.
Explicit course synthesis
A strong portfolio includes raw data, processed evidence, quantitative models, uncertainty, corrections, and design iteration.
Representative evidence is better than sheer volume. Select artifacts that demonstrate different competencies.
Do not fabricate missing data. Repair only from authentic records and clearly mark reconstructed analysis.
Vocabulary: portfolio; data lineage; representative evidence; revision; authenticity.
Worked example
A graph without raw data is incomplete evidence; a final design without failed trials or revisions hides the engineering process.
Guided question
Which four artifacts best demonstrate breadth across physics and engineering?
Independent work
- Audit at least six artifacts.
- Flag missing raw data/units/uncertainty.
- Select four representative pieces.
- Write one repair plan using authentic records only.
Misconception check
Portfolio cleanup should not rewrite history or erase meaningful mistakes.
Formative check
What makes an artifact auditable?
Reveal response
Traceable raw evidence, documented transformations, assumptions, units, and revision history.
Mentor evidence conference
Archaemenes may challenge reasoning and help plan corrections but cannot reveal protected answers or grant official final mastery.
Teacher guidance
Foundation: Use an evidence checklist.
Core: Audit breadth and traceability.
Extended: Evaluate uncertainty propagation across one complex artifact.