Learning Graph Quality Metrics
Course: Data-Driven Ethics and Systems Change Assessment Date: 2025-11-30 Total Concepts: 250
DAG Validation
| Check | Status |
|---|---|
| Self-references | None found |
| Cycles | None found |
| Valid DAG | Yes |
Dependency Statistics
| Metric | Value |
|---|---|
| Total concepts | 250 |
| Foundational concepts (zero dependencies) | 5 |
| Average dependencies per concept | 1.65 |
| Maximum dependencies per concept | 4 |
| Concepts with 1+ dependencies | 245 |
Foundational Concepts (Prerequisites)
These concepts have no dependencies and serve as entry points:
- Ethics (ID: 1) - Core foundation of the course
- Scientific Method (ID: 6) - Methodology foundation
- Critical Thinking (ID: 7) - Reasoning foundation
- Data Literacy (ID: 9) - Data skills foundation
- Complex Systems (ID: 82) - Systems thinking foundation
Top Concepts by Indegree
These are the most depended-upon concepts (likely core knowledge):
| Concept | Indegree | Role |
|---|---|---|
| Harm Quantification (27) | 15+ | Central measurement concept |
| Systems Thinking (81) | 20+ | Core analytical framework |
| Behavioral Economics (199) | 8+ | Intervention design base |
| Cognitive Biases (24) | 5+ | Bias understanding base |
| System Archetypes (107) | 8 | Pattern recognition base |
Disconnected Subgraphs
Status: All 250 concepts are connected to the main graph through dependencies.
Linear Chain Analysis
The graph has good branching with multiple learning pathways:
- Most concepts connect to 2-3 other concepts
- Multiple entry points through foundational concepts
- Good cross-domain connections (e.g., systems thinking connects to advocacy)
Quality Score
Overall Quality Score: 88/100
Scoring Breakdown:
| Category | Score | Notes |
|---|---|---|
| DAG validity | 20/20 | No cycles or self-references |
| Foundational concepts | 15/15 | 5 clear entry points |
| Dependency distribution | 18/20 | Good average, some linear chains |
| Cross-domain connections | 15/20 | Good connections between topics |
| Concept coverage | 20/25 | Comprehensive, 250 concepts |
Recommendations
- The graph is well-structured for a valid DAG
- Consider adding more cross-domain dependencies to enhance learning pathways
- The 5 foundational concepts provide clear starting points for learners
- Industry case studies are well-connected to measurement frameworks