Rubric

Used to score the performance task (both tracks) and the school final project. Designed to be usable by a teacher, a peer reviewer, or a scoring agent — every level describes observable behavior.

Last reviewed: 2026-10-25

Criterion 1 — Accuracy checking

Does the learner treat claims and numbers as unverified until checked?

Level Observable behavior
4 — Routine Finds all planted errors and near-misses; verifies each against an appropriate source; distinguishes “wrong”, “unverifiable” and “true but unsourced”; the corrected text contains no claim they cannot stand behind.
3 — Solid Finds the main factual errors and the fabricated source; verifies most claims; corrected text is safe, though one minor claim remains unchecked.
2 — Partial Finds obvious errors (wrong numbers) but accepts fluent claims and plausible citations; some corrections, others copied through.
1 — Missing Treats fluency as truth; corrects style only; no verification performed.

Criterion 2 — Data judgment

Does the learner recognize what may and may not be pasted/shared, and act on exposure?

Level Observable behavior
4 — Routine Identifies the data-privacy problem and its identifiability logic (name + address + order number = person); rewrites the instruction correctly; states the containment/reporting path for existing exposure; notes tool-approval distinctions (approved vs. personal accounts).
3 — Solid Identifies the personal-data paste and fixes it; tool distinctions mostly right; containment path named but not sequenced.
2 — Partial Notices the paste “seems private” but mis-classifies (e.g., calls customer data “internal”); no containment path.
1 — Missing No data awareness shown; keeps the pasting instruction.

(School adaptation — criterion 2 becomes Source judgment: does the learner cite where their own facts came from and flag claims that need sources? Levels mirror 4→1: every claim sourced → main claims sourced → “I checked” without a source → no sourcing.)

Criterion 3 — Bias recognition

Does the learner spot unfairness and connect it to a cause?

Level Observable behavior
4 — Routine Identifies the CV-ranking bias problem and the subtle ones (vendor-claims conflict of interest, “fully compliant” assertion); explains the cause (pattern learned from uneven data/authority claims); proposes the human-in-the-loop alternative.
3 — Solid Identifies the CV-ranking problem and connects it to bias; proposes human screening.
2 — Partial Says “the AI might be biased” without connecting cause or consequence; misses the subtle authority claims.
1 — Missing No bias recognition; accepts ranking people by machine score.

(School adaptation: learners identify one unfair output pattern and a matching training-data cause — the Lesson 3 objective.)

Criterion 4 — Justification

Does the learner explain *why — the log is reasoning, not a changelist?*

Level Observable behavior
4 — Routine Every change in the log names the principle (the affected-person test, identifiability, source verification); escalations name the right owner; the response could teach someone else.
3 — Solid Most changes carry a reason tied to a module principle; one or two are asserted without a why.
2 — Partial Changes listed with thin labels (“wrong”, “fixed”); principles absent.
1 — Missing No log, or a log of opinions without reference to any check or principle.

Using this rubric

  • Passing bar (suggested): Level 3 or above on all four criteria for the workplace task; Level 2 minimum per criterion for the school project, with growth expected between lessons.
  • Scorers: a teacher, a peer (using the peer protocol), or a labeled AI scorer. Any AI-assisted scoring is labeled as such in results and never presented as human judgment.
  • The rubric deliberately avoids weighing writing quality: the object is judgment.