Taxonomy Distribution Report

Overview

• Total Concepts: 221
• Number of Taxonomies: 15
• Average Concepts per Taxonomy: 14.7

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
COG	COG	25	11.3%	✅
AIST	AIST	20	9.0%	✅
MOT	MOT	18	8.1%	✅
ITB	ITB	16	7.2%	✅
Foundation Concepts - Prerequisites	FOUND	15	6.8%	✅
MEAS	MEAS	15	6.8%	✅
RET	RET	14	6.3%	✅
APP	APP	14	6.3%	✅
COND	COND	14	6.3%	✅
SIM	SIM	14	6.3%	✅
GN	GN	14	6.3%	✅
MASC	MASC	13	5.9%	✅
EXP	EXP	11	5.0%	✅
CAP	CAP	10	4.5%	✅
DOMAIN	DOMAIN	8	3.6%	✅

Visual Distribution

COG                       █████  25 ( 11.3%)
AIST                      ████  20 (  9.0%)
MOT                       ████  18 (  8.1%)
ITB                       ███  16 (  7.2%)
Foundation Concepts - Pre ███  15 (  6.8%)
MEAS                      ███  15 (  6.8%)
RET                       ███  14 (  6.3%)
APP                       ███  14 (  6.3%)
COND                      ███  14 (  6.3%)
SIM                       ███  14 (  6.3%)
GN                        ███  14 (  6.3%)
MASC                      ██  13 (  5.9%)
EXP                       ██  11 (  5.0%)
CAP                       ██  10 (  4.5%)
DOMAIN                    █   8 (  3.6%)

Balance Analysis

✅ No Over-Represented Categories

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

Category Details

COG (COG)

Count: 25 concepts (11.3%)

Concepts:

• 1. Sensory Memory
• 1. Iconic Memory
• 1. Echoic Memory
• 1. Working Memory
• 1. Miller's Law
• 1. Phonological Loop
• 1. Visuospatial Sketchpad
• 1. Central Executive
• 1. Long-Term Memory
• 1. Semantic Memory
• 1. Episodic Memory
• 1. Procedural Memory
• 1. Schema
• 1. Schema Construction
• 1. Chunking
• ...and 10 more

AIST (AIST)

Count: 20 concepts (9.0%)

Concepts:

• 1. Prompt Engineering
• 1. Context Window
• 1. Token Budgeting
• 1. SKILL.md Format
• 1. Skill Invocation
• 1. Course Description Analyzer
• 1. Learning Graph Generator
• 1. Book Chapter Generator
• 1. Chapter Content Generator
• 1. Glossary Generator
• 1. FAQ Generator
• 1. Quiz Generator
• 1. MicroSim Generator
• 1. Story Generator
• 1. Reference Generator
• ...and 5 more

MOT (MOT)

Count: 18 concepts (8.1%)

Concepts:

• 1. Intrinsic Motivation
• 1. Extrinsic Motivation
• 1. Self-Determination Theory
• 1. Autonomy Need
• 1. Competence Need
• 1. Relatedness Need
• 1. Flow State
• 1. Goal Orientation
• 1. Growth Mindset
• 1. Fixed Mindset
• 1. Self-Efficacy
• 1. Engagement
• 1. Attention
• 1. Attention Capture
• 1. Sustained Attention
• ...and 3 more

ITB (ITB)

Count: 16 concepts (7.2%)

Concepts:

• 1. Intelligent Textbook Design
• 1. Learning Graph
• 1. Concept Dependency
• 1. DAG Structure
• 1. Concept Node
• 1. Concept Edge
• 1. Glossary
• 1. FAQ Section
• 1. Quiz Bank
• 1. Chapter Outline
• 1. Chapter Content Authoring
• 1. Reference List
• 1. Table of Contents
• 1. Search Index
• 1. Site Navigation
• ...and 1 more

Foundation Concepts - Prerequisites (FOUND)

Count: 15 concepts (6.8%)

Concepts:

• 1. Learning Sciences
• 1. Instructional Design
• 1. Cognitive Science
• 1. Educational Psychology
• 1. Neuroscience in Learning
• 1. Evidence-Based Pedagogy
• 1. Bloom Taxonomy 2001
• 1. Learning Objective
• 1. Intelligent Textbook
• 1. Generative AI
• 1. Large Language Model
• 1. Claude Code
• 1. Agent Skill
• 1. MkDocs Material
• 1. Markdown Authoring

MEAS (MEAS)

Count: 15 concepts (6.8%)

Concepts:

• 1. Formative Assessment
• 1. Summative Assessment
• 1. Learning Analytics
• 1. Feedback Loop
• 1. Immediate Feedback
• 1. Delayed Feedback
• 1. Corrective Feedback
• 1. Assessment Rubric
• 1. Item Response Theory
• 1. Diagnostic Assessment
• 1. Metacognition
• 1. Self-Regulated Learning
• 1. Learning Dashboard
• 1. A/B Testing in Learning
• 1. Quality Metrics

RET (RET)

Count: 14 concepts (6.3%)

Concepts:

• 1. Retrieval Practice
• 1. Testing Effect
• 1. Spaced Repetition
• 1. Massed Practice
• 1. Distributed Practice
• 1. Interleaving
• 1. Forgetting Curve
• 1. Retrieval Cue
• 1. Recall vs Recognition
• 1. Retrieval Strength
• 1. Storage Strength
• 1. Desirable Difficulty
• 1. Leitner System
• 1. Spaced Retrieval Scheduling

APP (APP)

Count: 14 concepts (6.3%)

Concepts:

• 1. Knowledge Transfer
• 1. Near Transfer
• 1. Far Transfer
• 1. Novel Problem Solving
• 1. Unlearning
• 1. Misconception
• 1. Conceptual Change
• 1. Mental Model
• 1. Analogical Reasoning
• 1. Problem-Based Learning
• 1. Case-Based Learning
• 1. Worked Example
• 1. Example-Problem Pair
• 1. Scenario-Based Assessment

COND (COND)

Count: 14 concepts (6.3%)

Concepts:

• 1. Learning Environment
• 1. Scaffolding
• 1. Zone of Proximal Development
• 1. Social Learning Theory
• 1. Community of Practice
• 1. Constructivism
• 1. Situated Cognition
• 1. Universal Design for Learning
• 1. Accessibility
• 1. Psychological Safety
• 1. Culturally Responsive Teaching
• 1. Classroom Discourse
• 1. Online Learning Environment
• 1. Blended Learning

SIM (SIM)

Count: 14 concepts (6.3%)

Concepts:

• 1. MicroSim
• 1. MicroSim Design Principles
• 1. p5.js Library
• 1. Chart.js Library
• 1. Plotly Library
• 1. Mermaid Diagram
• 1. vis-network Library
• 1. Leaflet Map Library
• 1. Venn.js Library
• 1. Interactive Infographic
• 1. MicroSim Control Complexity
• 1. Iframe Embedding
• 1. Screen Capture Automation
• 1. Diagram Overlay Pattern

GN (GN)

Count: 14 concepts (6.3%)

Concepts:

• 1. Graphic Novel Chapter
• 1. Short-Form Narrative
• 1. Twelve Panel Story
• 1. Panel Composition
• 1. Image Prompt Engineering
• 1. Image Generation
• 1. Historical Figure Selection
• 1. Narrative Transportation
• 1. Story Arc Structure
• 1. Character Design
• 1. Speech Bubble Design
• 1. Caption Box Writing
• 1. Historical Accuracy Check
• 1. Story Engagement Techniques

MASC (MASC)

Count: 13 concepts (5.9%)

Concepts:

• 1. Pedagogical Mascot
• 1. Mascot Persona
• 1. Mascot Visual Identity
• 1. Mascot Voice Guide
• 1. Mascot Admonition
• 1. Hint Admonition
• 1. Warning Admonition
• 1. Tip Admonition
• 1. Encouragement Admonition
• 1. Danger Admonition
• 1. Understanding Check Admonition
• 1. Admonition CSS Styling
• 1. Narrative Voice Consistency

EXP (EXP)

Count: 11 concepts (5.0%)

Concepts:

• 1. Expertise
• 1. Deliberate Practice
• 1. Pattern Recognition
• 1. Automaticity
• 1. Novice Expert Difference
• 1. Expert Chunking
• 1. Dreyfus Skill Model
• 1. Tacit Knowledge
• 1. Explicit Knowledge
• 1. Mastery Learning
• 1. Ten Thousand Hour Rule

CAP (CAP)

Count: 10 concepts (4.5%)

Concepts:

• 1. Capstone Project
• 1. GitHub Pages Deployment
• 1. MkDocs Build Process
• 1. Portfolio Artifact
• 1. Peer Review Process
• 1. Iterative Improvement
• 1. Accessibility Audit Basics
• 1. Publishing Workflow
• 1. Chapter Rubric Evaluation
• 1. Mastery Demonstration

DOMAIN (DOMAIN)

Count: 8 concepts (3.6%)

Concepts:

• 1. Seven Domains
• 1. Motivation Domain
• 1. Understanding Domain
• 1. Retention Domain
• 1. Application Domain
• 1. Expertise Domain
• 1. Measurement Domain
• 1. Learning Conditions Domain

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 7.7%)
• ✅ 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