Assessment — AI Ethics & Decision Making

A · Assessment Summary

9 Blueprint Skills
Assessed (of 28)

6 Skills at
Apply / Analyze Level

1 Skills at
Evaluate / Create Level

4 Assessment Methods
Used (all blueprint)

Create Bloom's Ceiling
(M8 Capstone)

7 Standards Frameworks
Covered

B · Bloom's Taxonomy Coverage

Distribution Across All Assessment Moments

20%

35%

30%

Remember — 5%

Understand — 20%

Apply — 35%

Analyze — 30%

Evaluate — 8%

Create — 2%

Emphasis on Apply and Analyze reflects the course's practitioner orientation — students make real decisions, not just recall definitions. The Create ceiling is reached via the M8 capstone governance proposal.

C · Skills Coverage by Domain

Blueprint Mapping & Scores (0–4 scale)

AI Ethics & Governance Primary Domain

Skill	Coverage	Bloom's Ceiling	Assessment Methods	Score
Understand AI Ethics & Responsible AI understand-ai-ethics	Full	Evaluate	Quiz Module Test Lab Project	4
Identify & Mitigate AI Bias identify-ai-bias	Full	Analyze	Quiz Module Test Lab	4
Apply AI Governance Frameworks apply-governance-frameworks	Full	Analyze	Quiz Module Test Lab	4
Ensure Responsible AI Deployment ensure-responsible-ai	Substantial	Evaluate	Module Test Lab	3

AI & Society Primary Domain

Skill	Coverage	Bloom's Ceiling	Assessment Methods	Score
Understand AI's Societal Impact understand-ai-societal-impact	Substantial	Analyze	Quiz Module Test	3
Navigate AI-Driven Workplace Change navigate-ai-driven-change	Partial	Apply	Module Test Lab	2
Communicate AI Concepts to Diverse Audiences communicate-ai-concepts	Partial	Apply	Lab	2

AI Fundamentals Partial Coverage

Skill	Coverage	Bloom's Ceiling	Assessment Methods	Score
Recognize AI Limitations & Failure Modes recognize-ai-limitations	Partial	Analyze	Module Test	2

AI Applications Partial Coverage

Skill	Coverage	Bloom's Ceiling	Assessment Methods	Score
Evaluate & Compare AI Solutions evaluate-ai-solutions	Partial	Evaluate	Module Test Lab	2

D · Assessment Method Breakdown

All Four Blueprint Methods Deployed

Quiz Remember · Understand

M2 — Bias detection quiz (identify bias sources)
M3 — Documentation quiz (model card structure)
M5 — Explainability quiz (LIME, SHAP, attention)

3 quizzes · Multiple-choice & true/false · 5–10 min each

Module Test Understand · Apply · Analyze

exam.html — 30 standards-mapped questions across all 8 modules
Scenario analysis, short answer, and multiple-choice
Covers all 9 assessed skills

1 comprehensive exam · 30 items · 45–60 min · 0–100 scaled

Lab Apply · Analyze · Evaluate

M1 DEBATE — Predictive policing deployment (threshold 6, ~20 min)
M2 SKILL — Hiring dataset bias audit (threshold 5, ~25 min)
M3 SKILL — Model card authoring (threshold 5, ~25 min)
M4 DEBATE — Stakeholder power analysis (threshold 6, ~20 min)
M5 SKILL — LIME/SHAP application (threshold 5, ~25 min)
M6 BUILD — Policy drafting (threshold 4, ~30 min)
M7 BUILD — Incident report writing (threshold 4, ~30 min)
M8 BUILD — Governance framework capstone (threshold 4, ~30 min)

8 labs · AI-driven conversation · Rubric 0–4 · Offline fallback included

Project Analyze · Evaluate · Create

M8 — The Governance Proposal: complete AI governance framework for a 280,000-person city
Maps to EU AI Act Art. 9, NIST AI RMF, UNESCO AI Recommendation
Portfolio artifact — retained beyond course completion

1 capstone project · Multi-step design & documentation · 2–4 hrs

E · Standards Alignment

7 Frameworks Mapped to Course Modules

Standard	Article / Code	Modules Addressing It
AI4K12	Big Idea 5 — Society & Ethics	M1M2M4M8
EU AI Act	Art. 9 Risk Management Art. 13 Transparency Art. 17 Quality Management Art. 22 Human Oversight Art. 29 User Obligations	M1 (Art.22)M3 (Art.13)M6 (Art.17)M7 (Art.9)M8 (All)
NIST AI RMF	Govern · Map · Measure · Manage	M4 (Govern)M5 (Map/Measure)M7 (Manage)M8 (All)
O*NET	4.A.4 Work Ethic / Governance Information Systems Analysis	M4M6M7M8
UNESCO AI	Recommendation on AI (2021)	M1M2M4M8
CSTA	3A-IC-24 3A-IC-25 3B-IC-27	M1 (3A-IC-24)M2 (3A-IC-25)M4 (3B-IC-27)M8 (All)

F · Gaps & Intentional Scope Boundaries

Domains Not Covered By This Course

Prompt Engineering Generative AI RAG / Knowledge Systems AI Agents & Systems AI Security Data Analytics

These gaps are intentional. This course is a domain specialist: its 8 modules concentrate all instructional time on ethics, governance, bias, documentation, explainability, and policy. Covering 9 of 28 blueprint skills at Apply/Analyze depth produces stronger outcomes than shallow coverage of all 28. Students who need the remaining 19 skills should complete the corresponding specialist courses in the AESOP catalog. The blueprint scoring reflects depth of coverage, not a deficiency.

G · Portfolio Artifact

M8 Build — Capstone Project

The Governance Proposal

A complete AI governance framework designed for a city of 280,000 people. Students identify high-risk AI systems in municipal operations, establish an oversight structure with defined roles and accountability chains, draft a policy for responsible AI procurement and deployment, specify incident response and audit procedures, and justify every design decision against current legal and ethical frameworks.

This artifact reaches Bloom's Create — the course ceiling. It is retained as a portfolio artifact demonstrating the student can synthesize governance knowledge into a novel, defensible document.

EU AI Act — Art. 9 Risk Mgmt NIST AI RMF — Govern Function UNESCO AI Recommendation 2021 CSTA 3B-IC-27 O*NET 4.A.4 Bloom's: Create