Course Description Quality Assessment
Course: ETHICS: Data-Driven Ethics and Systems Change Assessment Date: 2025-11-30 Quality Score: 95/100
Scoring Breakdown
| Element | Points | Assessment |
|---|---|---|
| Title | 5/5 | Clear, descriptive: "ETHICS: Data-Driven Ethics and Systems Change" |
| Target Audience | 5/5 | College students with prerequisites (STATS 201/DATA 101) |
| Prerequisites | 5/5 | Clearly stated: "STATS 201 or DATA 101 or instructor permission" |
| Main Topics Covered | 10/10 | Comprehensive 3-part structure with detailed topics |
| Topics Excluded | 2/5 | Not explicitly stated what's NOT covered |
| Learning Outcomes Header | 5/5 | Clear Bloom's Taxonomy organization |
| Remember Level | 10/10 | 3 specific, actionable outcomes |
| Understand Level | 8/10 | Combined with Remember, good coverage |
| Apply Level | 10/10 | 3 specific outcomes with action verbs |
| Analyze Level | 10/10 | 4 specific outcomes |
| Evaluate Level | 10/10 | 4 specific outcomes |
| Create Level | 10/10 | 4 specific outcomes including capstone |
| Descriptive Context | 5/5 | Career applications, course format, and notes provided |
Strengths
- Excellent Bloom's Taxonomy Alignment - Learning objectives are clearly organized by cognitive level with specific, measurable action verbs
- Comprehensive Topic Coverage - Three-part structure covers understanding, analysis, and action
- Real-World Application - Case studies, capstone project, and career applications well-defined
- Assessment Methods - Clear weighting of different assessment types
- Prerequisites Specified - Clear entry requirements stated
Areas for Improvement
- Topics Excluded - Consider explicitly stating what is NOT covered (e.g., "This course does not cover pure philosophical ethics, legal compliance, or business ethics certification")
Concept Estimation
Based on the course description, I estimate 180-220 concepts can be derived:
- Foundation Concepts (~25): Ethics basics, data science fundamentals, systems thinking intro
- Harm Measurement (~30): DALYs, social costs, life-cycle analysis, industry metrics
- Data Gathering (~25): Sources, bias detection, ethical collection methods
- Systems Thinking (~35): Archetypes, causal loops, feedback, stocks/flows
- Industry Analysis (~30): 16 harmful industries, case studies, comparisons
- Leverage Points (~25): Meadows' framework, intervention strategies
- Advocacy & Change (~25): Behavioral economics, policy, movement building
- Capstone Skills (~15): Project design, presentation, implementation
This is well-aligned with similar courses in sustainability, public policy, and applied ethics programs.
Recommendation
PROCEED - The course description quality score of 95/100 exceeds the recommended threshold of 70. The description provides sufficient depth and breadth to generate 200 high-quality concepts with meaningful dependencies.