Taxonomy Distribution Report

Overview

• Total Concepts: 400
• Number of Taxonomies: 16
• Average Concepts per Taxonomy: 25.0

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
Concept Graph Foundations	FOUND	61	15.2%	✅
Concept Dependency & Prerequisites	DEPEND	44	11.0%	✅
Graph Quality & Validation	QUAL	40	10.0%	✅
Education & Learning Sciences	LSCI	33	8.2%	✅
Concept Taxonomies & Ontologies	TAXON	30	7.5%	✅
Vis.js Fundamentals & Styling	VISCORE	28	7.0%	✅
Graph Layout, Physics & Interactivity	VISLAYOUT	24	6.0%	✅
Learning Paths & Personalization	PERS	23	5.8%	✅
Data Formats & File Standards	DATA	22	5.5%	✅
Educational Theory Foundations	EDUF	21	5.2%	✅
Assessment & Feedback	ASSESS	16	4.0%	✅
Graph Clustering & Editing Tools	VISTOOLS	14	3.5%	✅
Intelligent Textbooks & MicroSims	TEXTBOOK	13	3.2%	✅
Intelligent Agents & Generative AI	AI	12	3.0%	✅
Agent Skills for Learning Graph Generation	SKILL	12	3.0%	✅
LMS & Deployment Infrastructure	LMS	7	1.8%	ℹ️ Under

Visual Distribution

Concept Graph Foundations ███████  61 ( 15.2%)
Concept Dependency & Prer █████  44 ( 11.0%)
Graph Quality & Validatio █████  40 ( 10.0%)
Education & Learning Scie ████  33 (  8.2%)
Concept Taxonomies & Onto ███  30 (  7.5%)
Vis.js Fundamentals & Sty ███  28 (  7.0%)
Graph Layout, Physics & I ███  24 (  6.0%)
Learning Paths & Personal ██  23 (  5.8%)
Data Formats & File Stand ██  22 (  5.5%)
Educational Theory Founda ██  21 (  5.2%)
Assessment & Feedback     ██  16 (  4.0%)
Graph Clustering & Editin █  14 (  3.5%)
Intelligent Textbooks & M █  13 (  3.2%)
Intelligent Agents & Gene █  12 (  3.0%)
Agent Skills for Learning █  12 (  3.0%)
LMS & Deployment Infrastr    7 (  1.8%)

Balance Analysis

✅ No Over-Represented Categories

All categories are under the 30% threshold. Good balance!

ℹ️ Under-Represented Categories (<3%)

• LMS & Deployment Infrastructure (LMS): 7 concepts (1.8%)
• Note: Small categories are acceptable for specialized topics

Category Details

Concept Graph Foundations (FOUND)

Count: 61 concepts (15.2%)

Concepts:

• 1. Concept
• 1. Concept Graph
• 1. Content Graph
• 1. Knowledge Graph
• 1. Dependency Graph
• 1. Learning Graph
• 1. Directed Graph
• 1. Directed Acyclic Graph (DAG)
• 1. Node
• 1. Edge
• 1. Hierarchy
• 1. Graph Representation
• 1. Cluster (Graph)
• 1. Journey Map
• 1. Hybrid Graph
• ...and 46 more

Concept Dependency & Prerequisites (DEPEND)

Count: 44 concepts (11.0%)

Concepts:

• 1. Concept Dependency
• 1. Prerequisite Relationship
• 1. Prerequisite Chain
• 1. Prerequisite Concept
• 1. Foundational Concept
• 1. Goal Concept
• 1. Immediate Goal
• 1. Intermediate Goal
• 1. Ultimate Goal
• 1. Learning Goal
• 1. Ready-to-Learn Concept
• 1. Learned Concept
• 1. Skill Gap
• 1. Transitive Dependency
• 1. Hop Count
• ...and 29 more

Graph Quality & Validation (QUAL)

Count: 40 concepts (10.0%)

Concepts:

• 1. Learning Graph Validation
• 1. Graph Quality Metric
• 1. Orphaned Node
• 1. Disconnected Subgraph
• 1. Cycle Detection
• 1. Self-Dependency Prevention
• 1. Indegree
• 1. Out-Degree
• 1. Node Degree
• 1. Full Coverage Check
• 1. Structural Check
• 1. Graph Connectivity
• 1. Quality Metrics Report
• 1. Third-Party Certification
• 1. Weak Connectivity
• ...and 25 more

Education & Learning Sciences (LSCI)

Count: 33 concepts (8.2%)

Concepts:

• 1. Cognitivism
• 1. Behaviorism
• 1. Connectivism
• 1. Andragogy
• 1. Cognitive Load Theory
• 1. Working Memory Constraint
• 1. Schema Theory
• 1. Prior Knowledge Activation
• 1. Chunking (Cognitive Load)
• 1. Knowledge Space Theory
• 1. Learning Progression
• 1. Spiral Curriculum
• 1. Backward Design
• 1. Constructive Alignment
• 1. Topological Sort
• ...and 18 more

Concept Taxonomies & Ontologies (TAXON)

Count: 30 concepts (7.5%)

Concepts:

• 1. Concept Taxonomy
• 1. Ontology
• 1. TaxonomyID
• 1. Taxonomy Classifier
• 1. Taxonomy Category
• 1. Taxonomy Distribution Report
• 1. Taxonomy Legend
• 1. Node Group
• 1. Concept-to-Taxonomy Mapping
• 1. Balanced Taxonomy
• 1. Miscellaneous Category
• 1. Abstraction (Graph)
• 1. Clustering (Graph)
• 1. Classification Scheme
• 1. Polyhierarchy
• ...and 15 more

Vis.js Fundamentals & Styling (VISCORE)

Count: 28 concepts (7.0%)

Concepts:

• 1. Vis.js
• 1. Vis-Network Library
• 1. DataSet
• 1. Network Container
• 1. Network Initialization
• 1. JSON Data Format
• 1. Force-Directed Graph
• 1. Force-Directed Graph Layout
• 1. Legend Display
• 1. Node Shape
• 1. Node Background Color
• 1. Node Size
• 1. Node Font Color
• 1. Node Border Width
• 1. Node Border Color
• ...and 13 more

Graph Layout, Physics & Interactivity (VISLAYOUT)

Count: 24 concepts (6.0%)

Concepts:

• 1. Physics Simulation
• 1. Barnes-Hut Solver
• 1. ForceAtlas2 Layout
• 1. Repulsion Solver
• 1. Central Gravity
• 1. Damping
• 1. Hierarchical Layout
• 1. Layout Direction
• 1. Fixed Node Position
• 1. Node Pinning
• 1. Spring Length Parameter
• 1. Stabilization
• 1. Graph Layout Algorithm
• 1. Node Tooltip
• 1. Edge Tooltip
• ...and 9 more

Learning Paths & Personalization (PERS)

Count: 23 concepts (5.8%)

Concepts:

• 1. Learning Path
• 1. Personalized Learning Path
• 1. Adaptive Learning
• 1. Adaptive Learning Path
• 1. Adaptive Algorithm
• 1. Hyper-Personalization
• 1. Hyper-Customized Lesson Plan
• 1. Custom Learning Plan
• 1. Content Recommendation Engine
• 1. Recommendation Engine
• 1. Concept Similarity
• 1. Student Similarity
• 1. Content Similarity
• 1. Similarity Metric
• 1. Learner Model
• ...and 8 more

Data Formats & File Standards (DATA)

Count: 22 concepts (5.5%)

Concepts:

• 1. JSON
• 1. JSON Schema
• 1. CSV
• 1. YAML
• 1. Markdown
• 1. CSV to JSON Conversion
• 1. groups.json
• 1. Data Pipeline
• 1. CSV Header
• 1. Pipe-Delimited Field
• 1. Node Record
• 1. Edge Record
• 1. Group Record
• 1. Metadata Record
• 1. Schema Conformance
• ...and 7 more

Educational Theory Foundations (EDUF)

Count: 21 concepts (5.2%)

Concepts:

• 1. Bloom's Taxonomy
• 1. Cognitive Domain
• 1. Affective Domain
• 1. Psychomotor Domain
• 1. Remembering
• 1. Understanding
• 1. Applying
• 1. Analyzing
• 1. Evaluating
• 1. Creating
• 1. Learning Objective
• 1. Instructional Design
• 1. Scaffolding
• 1. Constructivism
• 1. Zone of Proximal Development
• ...and 6 more

Assessment & Feedback (ASSESS)

Count: 16 concepts (4.0%)

Concepts:

• 1. Assessment
• 1. Formative Feedback
• 1. Personalized Feedback Loop
• 1. Feedback Loop
• 1. Feedback Log
• 1. Feedback Analysis
• 1. Course Evaluation
• 1. Learning Touchpoint
• 1. Frequently Asked Question
• 1. Quiz
• 1. Multiple-Choice Question
• 1. Quiz Distractor
• 1. True/False Question
• 1. Learning Evidence
• 1. Diagnostic Assessment
• ...and 1 more

Graph Clustering & Editing Tools (VISTOOLS)

Count: 14 concepts (3.5%)

Concepts:

• 1. Graph Cluster
• 1. Composite Node
• 1. Cluster Expand/Collapse
• 1. Group Visibility Checkbox
• 1. Group Styling
• 1. Domain Attribute (Clustering)
• 1. Graph Editor
• 1. Node Property Editor
• 1. Edge Property Editor
• 1. JSON Graph Import
• 1. JSON Graph Export
• 1. Node Enricher Script
• 1. Data Validation on Import
• 1. Orphaned Node Detection

Intelligent Textbooks & MicroSims (TEXTBOOK)

Count: 13 concepts (3.2%)

Concepts:

• 1. Intelligent Textbook
• 1. MicroSim
• 1. p5.js
• 1. JavaScript
• 1. Interactive Visualization
• 1. Interactive Simulation
• 1. Book Build Workflow
• 1. Book Metrics
• 1. Chapter Metrics
• 1. Content Generation Pipeline
• 1. Quality Gate
• 1. Concept-to-Content Viewer
• 1. Learning Path Recommendation

Intelligent Agents & Generative AI (AI)

Count: 12 concepts (3.0%)

Concepts:

• 1. Generative AI
• 1. Intelligent Agent
• 1. Agent Autonomy
• 1. Multi-Agent Collaboration
• 1. Tool Use (Agent)
• 1. Iterative Workflow
• 1. LLM-Generated Dependency Graph
• 1. Prompt Engineering
• 1. Chatbot
• 1. Retrieval-Augmented Generation
• 1. GraphRAG
• 1. Learning Agent

Agent Skills for Learning Graph Generation (SKILL)

Count: 12 concepts (3.0%)

Concepts:

• 1. Agent Skill
• 1. Claude Code
• 1. Skill Invocation
• 1. Course Description Scoring
• 1. Concept List Generation
• 1. Concept List Review
• 1. Dependency CSV Generation
• 1. Automated Quality Validation
• 1. Taxonomy Generation Step
• 1. Pipeline Session Log
• 1. Iterative Graph Regeneration
• 1. Human-in-the-Loop Review

LMS & Deployment Infrastructure (LMS)

Count: 7 concepts (1.8%)

Concepts:

• 1. Learning Management System (LMS)
• 1. LMS Integration
• 1. MkDocs
• 1. GitHub Pages
• 1. Git
• 1. Case Study
• 1. Real-World Application

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 13.5%)
• ✅ MISC category minimal: Good categorization specificity

Educational Use Recommendations

• Use taxonomy categories for color-coding in graph visualizations
• Design curriculum modules based on taxonomy groupings
• Create filtered views for focused learning paths
• Use categories for assessment organization
• Enable navigation by topic area in interactive tools

---

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