COMP 3270 / Assignment 2 / Assignment 2 Grading Rubric

Assignment 2 · Analytic rubric · 100 points

Assignment 2 Grading Rubric


Use this rubric to plan and audit the quality of the prompt design, comparison evidence, workflow, human responsibility, verification, and documentation.

Assessment
Assignment 2
Title
Prompt Engineering Portfolio
Weight
15%
Rubric total
100 points
Primary module
Module 2
Core frameworks
PCAFE-V, SCOPE, PARTNER
Required platform
None
Submission
End of Module 2

How the portfolio is evaluated

The portfolio is graded on the quality of the design process and evidence, not on whether an AI system produces an impressive answer. High achievement requires purposeful prompt design, fair comparison, information minimization, staged workflow design, meaningful human responsibility, verification, and clear documentation.

Rubric principle: The final generated output is evidence to analyze. It is not the assignment's primary intellectual product.

Criteria and weighting

Assignment 2 analytic rubric
CriterionPointsWhat is assessed
Use-case definition and suitability10Purpose, audience, boundaries, information classification, criteria, feasibility, and low-risk suitability
Weak-prompt diagnosis15Identification of missing requirements, assumptions, ambiguity, source needs, verification, and information risks
PCAFE-V redesign and rationale20Completeness, precision, proportional context, evaluability, privacy, verification, and justification of design choices
Output comparison and evidence15Pre-defined criteria, fair comparison, specific evidence, recognition of trade-offs, and separation of fluency from reliability
Context minimization and SCOPE design15Data minimization, source boundaries, task decomposition, intermediate outputs, evaluation gates, revisions, and stop conditions
PARTNER responsibility and human oversight10Appropriate AI and human roles, qualified review, decision authority, automation-bias controls, escalation, and accountability
Verification, correction, and residual risk10Claim checking, source quality, error correction, uncertainty, limitations, fallback, and stopping
Communication, documentation, accessibility, and disclosure5Organization, traceable prompt records, citation integrity, accessible presentation, privacy, and accurate AI-use disclosure
Total100

Performance levels

General descriptors applied proportionally to each criterion
LevelDescriptor
Excellent, 85–100%Purposeful, precise, evidence-rich, and fully traceable. Designs and compares prompts rigorously, minimizes information, creates an effective staged workflow, assigns meaningful human authority, verifies consequential content, and explains limitations and residual risk with excellent clarity.
Proficient, 70–84%Complete and well reasoned. Prompt design, comparison, context, workflow, responsibility, and verification are effective, with minor gaps that do not undermine the portfolio.
Developing, 55–69%Meets many core requirements but analysis or evidence is uneven. Some design choices are under-explained, comparison criteria are limited, or workflow and responsibility controls need strengthening.
Limited, 40–54%Partly complete and primarily descriptive. Prompt changes may be cosmetic, criteria unclear, context excessive, oversight nominal, or verification and documentation weak.
Insufficient, below 40%Does not demonstrate a responsible prompt-engineering process. Major components or evidence are missing, the case is unsuitable, outputs are accepted without analysis, or serious integrity and information-handling concerns prevent assessment.

Criterion-specific guidance

1. Use-case definition and suitability, 10 points

Full achievement: The case has a legitimate low-risk purpose, clear audience and output, bounded scope, pre-defined success criteria, appropriate information classification, and feasible alternatives.

Common deductions: Broad topic, unclear audience, high-consequence use, criteria created after viewing outputs, or protected information.

2. Weak-prompt diagnosis, 15 points

Full achievement: Diagnoses purpose, context, audience, format, criteria, sources, verification, assumptions, ambiguity, and information risks with specific evidence.

Common deductions: Vague comments such as “needs more detail,” redesign without diagnosis, or failure to identify hidden assumptions.

3. PCAFE-V redesign and rationale, 20 points

Full achievement: The redesigned prompt is complete, bounded, proportional, privacy-aware, source-conscious, evaluable, and supported by a persuasive rationale.

Common deductions: Merely longer prompt, unnecessary persona, excessive context, conflicting instructions, or no verification requirements.

4. Output comparison and evidence, 15 points

Full achievement: Applies the same pre-defined criteria to both outputs, cites specific evidence, identifies regressions and trade-offs, and distinguishes usefulness from reliability.

Common deductions: Preference without criteria, cherry-picking, comparing different tasks, or equating fluency with correctness.

5. Context minimization and SCOPE design, 15 points

Full achievement: Removes unnecessary information, defines source boundaries, sequences stages and outputs logically, and includes meaningful evaluation and stop gates.

Common deductions: One oversized prompt, unclear sources, no intermediate review, unnecessary personal data, or workflow diagram without text alternative.

6. PARTNER responsibility and oversight, 10 points

Full achievement: Assigns suitable roles to the AI system, user, qualified reviewer, and final decision-maker with real authority, escalation, and automation-bias controls.

Common deductions: “Human in the loop” without duties or authority, AI making decisions, or no reviewer for specialized claims.

7. Verification, correction, and residual risk, 10 points

Full achievement: Verifies important claims with suitable sources, documents corrections, acknowledges uncertainty, and provides fallback and stopping.

Common deductions: Unverified citations, superficial fact-checking, hidden corrections, or claims that the revised prompt eliminated risk.

8. Communication, documentation, accessibility, and disclosure, 5 points

Full achievement: The portfolio is coherent, professional, traceable, accessible, privacy-preserving, correctly cited, and transparently disclosed.

Common deductions: Missing prompts, inaccessible diagram, weak labels, incomplete disclosure, citation errors, or confidential information.

Grade calculation

The rubric score is calculated out of 100 and converted to Assignment 2's 15% course weight.

Example: A rubric score of 80 out of 100 contributes 12 percentage points to the final course grade: 80% × 15 = 12.

Late penalties, extensions, reassessment, and academic-integrity procedures follow the official course and institutional requirements.

Assignment resources

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