Taxonomy Distribution Report

Overview

• Total Concepts: 200
• Number of Taxonomies: 12
• Average Concepts per Taxonomy: 16.7

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
DATAS	DATAS	37	18.5%	✅
SKILL	SKILL	30	15.0%	✅
GRAPH	GRAPH	30	15.0%	✅
RSRCE	RSRCE	18	9.0%	✅
EDTHY	EDTHY	17	8.5%	✅
AIFND	AIFND	14	7.0%	✅
Intermediate Topics	INTER	12	6.0%	✅
TOOLS	TOOLS	11	5.5%	✅
VERCT	VERCT	9	4.5%	✅
IBOOK	IBOOK	8	4.0%	✅
CONTE	CONTE	8	4.0%	✅
MKDOC	MKDOC	6	3.0%	✅

Visual Distribution

DATAS  █████████  37 ( 18.5%)
SKILL  ███████  30 ( 15.0%)
GRAPH  ███████  30 ( 15.0%)
RSRCE  ████  18 (  9.0%)
EDTHY  ████  17 (  8.5%)
AIFND  ███  14 (  7.0%)
INTER  ███  12 (  6.0%)
TOOLS  ██  11 (  5.5%)
VERCT  ██   9 (  4.5%)
IBOOK  ██   8 (  4.0%)
CONTE  ██   8 (  4.0%)
MKDOC  █   6 (  3.0%)

Balance Analysis

✅ No Over-Represented Categories

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

Category Details

DATAS (DATAS)

Count: 37 concepts (18.5%)

Concepts:

• 1. CSV File Format for Graphs
• 1. Pipe-Delimited Dependencies
• 1. ConceptID Field
• 1. ConceptLabel Field
• 1. Dependencies Field
• 1. Taxonomy
• 1. Concept Categorization
• 1. Taxonomy Categories
• 1. TaxonomyID Abbreviations
• 1. Category Distribution
• 1. Avoiding Over-Representation
• 1. TaxonomyID Field in CSV
• 1. Adding Taxonomy to Graph
• 1. vis-network JSON Format
• 1. JSON Schema for Learning Graphs
• ...and 22 more

SKILL (SKILL)

Count: 30 concepts (15.0%)

Concepts:

• 1. Claude Skill
• 1. Skill Definition File Structure
• 1. YAML Frontmatter in Skills
• 1. Skill Name and Description
• 1. Skill License Information
• 1. Allowed Tools in Skills
• 1. Skill Workflow Instructions
• 1. Installing a Claude Skill
• 1. Listing Available Skills
• 1. Invoking Skills with Slash Commands
• 1. Skill Execution Context
• 1. Claude Command
• 1. Command Definition Files
• 1. Installing Claude Commands
• 1. Difference Between Skills & Commands
• ...and 15 more

GRAPH (GRAPH)

Count: 30 concepts (15.0%)

Concepts:

• 1. Learning Graph
• 1. Concept Nodes in Learning Graphs
• 1. Dependency Edges in Learning Graphs
• 1. Directed Acyclic Graph (DAG)
• 1. Prerequisite Relationships
• 1. Concept Dependencies
• 1. Learning Pathways
• 1. Concept Enumeration Process
• 1. Generating 200 Concepts
• 1. Concept Label Requirements
• 1. Title Case Convention
• 1. Maximum Character Length
• 1. Concept Granularity
• 1. Atomic Concepts
• 1. Dependency Mapping Process
• ...and 15 more

RSRCE (RSRCE)

Count: 18 concepts (9.0%)

Concepts:

• 1. Glossary
• 1. ISO 11179 Standards
• 1. Precise Definitions
• 1. Concise Definitions
• 1. Distinct Definitions
• 1. Non-Circular Definitions
• 1. Definitions Without Business Rules
• 1. Glossary Generation Process
• 1. FAQ
• 1. FAQ Generation Process
• 1. Common Student Questions
• 1. FAQ from Course Content
• 1. Quiz
• 1. Multiple-Choice Questions
• 1. Quiz Alignment with Concepts
• ...and 3 more

EDTHY (EDTHY)

Count: 17 concepts (8.5%)

Concepts:

• 1. Course Description
• 1. Target Audience Definition
• 1. Course Prerequisites
• 1. Main Topics Covered
• 1. Topics Excluded from Course
• 1. Learning Outcomes
• 1. Bloom's Taxonomy
• 1. Bloom's 2001 Revision
• 1. Remember (Cognitive Level 1)
• 1. Understand (Cognitive Level 2)
• 1. Apply (Cognitive Level 3)
• 1. Analyze (Cognitive Level 4)
• 1. Evaluate (Cognitive Level 5)
• 1. Create (Cognitive Level 6)
• 1. Action Verbs for Learning Outcomes
• ...and 2 more

AIFND (AIFND)

Count: 14 concepts (7.0%)

Concepts:

• 1. Artificial Intelligence
• 1. Claude AI
• 1. Large Language Models Overview
• 1. Anthropic Claude Pro Account
• 1. Claude Code Interface
• 1. Prompt Engineering
• 1. Prompt Design Principles
• 1. Educational Content Prompts
• 1. Iterative Prompt Refinement
• 1. Claude Token Limits
• 1. Token Management Strategies
• 1. 4-Hour Usage Windows
• 1. Claude Pro Limitations
• 1. Optimizing Claude Usage

Intermediate Topics (INTER)

Count: 12 concepts (6.0%)

Concepts:

• 1. MicroSim
• 1. p5.js JavaScript Library
• 1. Interactive Simulations
• 1. MicroSim Directory Structure
• 1. main.html in MicroSims
• 1. index.md for MicroSim Docs
• 1. Iframe Embedding
• 1. Seeded Randomness
• 1. Interactive Controls (Sliders)
• 1. Interactive Controls (Buttons)
• 1. MicroSim Metadata
• 1. Educational Simulation Design

TOOLS (TOOLS)

Count: 11 concepts (5.5%)

Concepts:

• 1. Visual Studio Code
• 1. VS Code for Content Development
• 1. Terminal in VS Code
• 1. Bash
• 1. Shell Scripts
• 1. Script Execution Permissions
• 1. Command-Line Interface Basics
• 1. Terminal Commands
• 1. Directory Navigation
• 1. File Creation and Editing
• 1. Symlink Creation

VERCT (VERCT)

Count: 9 concepts (4.5%)

Concepts:

• 1. Git
• 1. Version Control Basics
• 1. Git Repository Structure
• 1. Git Status Command
• 1. Git Add Command
• 1. Git Commit Command
• 1. Git Push Command
• 1. GitHub Integration
• 1. GitHub Pages Deployment

IBOOK (IBOOK)

Count: 8 concepts (4.0%)

Concepts:

• 1. Intelligent Textbook
• 1. Five Levels of Textbook Intelligence
• 1. Level 1: Static Content
• 1. Level 2: Hyperlinked Navigation
• 1. Level 3: Interactive Elements
• 1. Level 4: Adaptive Content
• 1. Level 5: AI Personalization
• 1. Capstone: Complete Textbook Project

CONTE (CONTE)

Count: 8 concepts (4.0%)

Concepts:

• 1. Chapter Structure
• 1. Section Organization
• 1. Content Generation Process
• 1. Chapter Index Files
• 1. Chapter Concept Lists
• 1. Reading Level Appropriateness
• 1. Worked Examples in Content
• 1. Practice Exercises

MKDOC (MKDOC)

Count: 6 concepts (3.0%)

Concepts:

• 1. MkDocs
• 1. MkDocs Material Theme
• 1. MkDocs Configuration File
• 1. Navigation Structure in MkDocs
• 1. Markdown Formatting Basics
• 1. Admonitions in MkDocs

Recommendations

• ✅ Good balance: Categories are reasonably distributed (spread: 15.5%)
• ✅ 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

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