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Learning Graph Quality Metrics Report

Overview

  • Total Concepts: 200
  • Foundational Concepts (no dependencies): 1
  • Concepts with Dependencies: 199
  • Average Dependencies per Concept: 1.68

Graph Structure Validation

  • Valid DAG Structure: ❌ No
  • Self-Dependencies: None detected ✅
  • Cycles Detected: 0

Foundational Concepts

These concepts have no prerequisites:

  • 1: Scientific Reasoning

Dependency Chain Analysis

  • Maximum Dependency Chain Length: 18

Longest Learning Path:

  1. Scientific Reasoning (ID: 1)
  2. Scientific Method (ID: 8)
  3. Evidence-Based Reasoning (ID: 9)
  4. Data Interpretation (ID: 10)
  5. Visual Data Representation (ID: 14)
  6. Graphs and Charts (ID: 33)
  7. Numerical Data Analysis (ID: 64)
  8. Data-Driven Reasoning (ID: 65)
  9. Logical Conclusions (ID: 66)
  10. Evaluating Scientific Claims (ID: 81)
  11. Evidence Supporting Conclusions (ID: 82)
  12. Conflicting Evidence (ID: 88)
  13. Data Consistency (ID: 90)
  14. Reproducibility (ID: 91)
  15. Peer Review Concepts (ID: 92)
  16. Scientific Consensus (ID: 93)
  17. Theory Modification (ID: 94)
  18. Paradigm Shifts (ID: 95)

Orphaned Nodes Analysis

  • Total Orphaned Nodes: 69

Concepts that are not prerequisites for any other concept:

  • 3: Career and College Readiness Standards
  • 7: Test Item Alignment
  • 16: Qualitative Reasoning
  • 24: Restatements of Research
  • 25: Scientific Comparisons
  • 26: Scientific Processes
  • 30: Scientific Symbols
  • 32: Context Clues in Science
  • 35: Data Visualization
  • 37: Hypothesis Refinement
  • 44: Error Reduction Strategies
  • 45: Experimental Controls
  • 49: Scientific Investigation Steps
  • 52: Precision and Accuracy
  • 53: Data Collection Methods
  • 56: Comparing Experimental Designs
  • 57: Observational Study Design
  • 60: Confounding Variables
  • 62: Citing Textual Evidence
  • 63: Supporting Findings with Data

...and 49 more

Connected Components

  • Number of Connected Components: 1

✅ All concepts are connected in a single graph.

Indegree Analysis

Top 10 concepts that are prerequisites for the most other concepts:

Rank Concept ID Concept Label Indegree
1 18 Experimental Design 13
2 1 Scientific Reasoning 11
3 21 Reading Scientific Text 11
4 61 Evidence-Based Conclusions 7
5 141 Descriptive Statistics 7
6 161 Human Body Systems 7
7 8 Scientific Method 6
8 10 Data Interpretation 6
9 73 Sampling Techniques 6
10 81 Evaluating Scientific Claims 6

Outdegree Distribution

Dependencies Number of Concepts
0 1
1 75
2 114
3 9
4 1

Recommendations

  • ⚠️ Many orphaned nodes (69): Consider if these should be prerequisites for advanced concepts
  • ℹ️ Long dependency chains (18): Ensure students can follow extended learning paths

Report generated by learning-graph-reports/analyze_graph.py