Taxonomy Distribution Report

Overview

• Total Concepts: 462
• Number of Taxonomies: 15
• Average Concepts per Taxonomy: 30.8

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
xAPI Instrumentation	XAPI	40	8.7%	✅
Mastery Prediction and Evaluation	MAST	40	8.7%	✅
Foundations and Anatomy	FOUND	36	7.8%	✅
Responsive Design and Quality Assurance	QA	36	7.8%	✅
MicroSim Types and Routing	TYPE	34	7.4%	✅
The Full LRS	LRS	34	7.4%	✅
Pedagogy, Ethics and the Future	PED	34	7.4%	✅
Diagrams, Networks, Timelines and Maps	DIAG	30	6.5%	✅
Batch Generation, Metadata and Reuse	BATCH	30	6.5%	✅
Image Overlays and Posters	OVL	28	6.1%	✅
LRS-Lite	LITE	28	6.1%	✅
Learning Objectives and Bloom	OBJ	26	5.6%	✅
AI Generation and Skills	GEN	24	5.2%	✅
p5.js MicroSims	P5	22	4.8%	✅
Charts, Plots and Tables	CHRT	20	4.3%	✅

Visual Distribution

xAPI Instrumentation      ████  40 (  8.7%)
Mastery Prediction and Ev ████  40 (  8.7%)
Foundations and Anatomy   ███  36 (  7.8%)
Responsive Design and Qua ███  36 (  7.8%)
MicroSim Types and Routin ███  34 (  7.4%)
The Full LRS              ███  34 (  7.4%)
Pedagogy, Ethics and the  ███  34 (  7.4%)
Diagrams, Networks, Timel ███  30 (  6.5%)
Batch Generation, Metadat ███  30 (  6.5%)
Image Overlays and Poster ███  28 (  6.1%)
LRS-Lite                  ███  28 (  6.1%)
Learning Objectives and B ██  26 (  5.6%)
AI Generation and Skills  ██  24 (  5.2%)
p5.js MicroSims           ██  22 (  4.8%)
Charts, Plots and Tables  ██  20 (  4.3%)

Balance Analysis

✅ No Over-Represented Categories

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

Category Details

xAPI Instrumentation (XAPI)

Count: 40 concepts (8.7%)

Concepts:

• 1. xAPI
• 1. xAPI Statement
• 1. Actor
• 1. Verb
• 1. Object
• 1. Result
• 1. Context
• 1. Activity IRI
• 1. Answered Verb
• 1. Experienced Verb
• 1. Interacted Verb
• 1. Producer Contract
• 1. Canonical Site URL
• 1. Sub-Activity Fragment
• 1. Concept ID Extension
• ...and 25 more

Mastery Prediction and Evaluation (MAST)

Count: 40 concepts (8.7%)

Concepts:

• 1. Concept Mastery
• 1. Mastery Prediction
• 1. Predictive Fidelity
• 1. Evidence Stream
• 1. Signal Versus Noise
• 1. Diagnostic Value
• 1. Guessing
• 1. Slipping
• 1. Bayesian Knowledge Tracing
• 1. BKT Initial Knowledge
• 1. BKT Learning Rate
• 1. BKT Guess Parameter
• 1. BKT Slip Parameter
• 1. Mastery Threshold
• 1. Attempt Order
• ...and 25 more

Foundations and Anatomy (FOUND)

Count: 36 concepts (7.8%)

Concepts:

• 1. MicroSim
• 1. Intelligent Textbook
• 1. Interactive Simulation
• 1. Learning Object
• 1. MicroSims 1.0
• 1. MicroSims 2.0
• 1. Instrumented MicroSim
• 1. Showcase MicroSim
• 1. Generative AI
• 1. Large Language Model
• 1. AI Skill
• 1. AI Agent
• 1. Prompt
• 1. MkDocs
• 1. GitHub Pages
• ...and 21 more

Responsive Design and Quality Assurance (QA)

Count: 36 concepts (7.8%)

Concepts:

• 1. Width Responsiveness
• 1. Container Width Detection
• 1. windowResized Handler
• 1. Iframe Height
• 1. CANVAS_HEIGHT Comment
• 1. Height Resolution Order
• 1. Iframe Auto-Height Protocol
• 1. postMessage Resize
• 1. Height Sync Tool
• 1. Relative Iframe Path
• 1. Mobile Layout
• 1. Control Wrapping
• 1. Text Overflow
• 1. Fullscreen Mode
• 1. Quality Score
• ...and 21 more

MicroSim Types and Routing (TYPE)

Count: 34 concepts (7.4%)

Concepts:

• 1. MicroSim Type Catalog
• 1. Type Routing
• 1. Routing Rubric
• 1. Keyword Routing
• 1. Routing Score
• 1. Routing Ambiguity
• 1. Objective-to-Type Mapping
• 1. Interactive-by-Default Policy
• 1. Static Image Exception
• 1. Reuse Versus Build Decision
• 1. p5.js Type
• 1. Chart.js Type
• 1. Plotly Type
• 1. Mermaid Type
• 1. vis-network Type
• ...and 19 more

The Full LRS (LRS)

Count: 34 concepts (7.4%)

Concepts:

• 1. Learning Record Store
• 1. LRS Architecture
• 1. System Context
• 1. Multi-Tenancy
• 1. District Tenant
• 1. Roster and Identity
• 1. Pseudonymous Learner ID
• 1. Per-District Salt
• 1. Property Graph Data Model
• 1. Summary Vertex
• 1. Ingestion Gateway
• 1. Statement Validation
• 1. All-or-Nothing Batch
• 1. Event Stream
• 1. Stream Processor
• ...and 19 more

Pedagogy, Ethics and the Future (PED)

Count: 34 concepts (7.4%)

Concepts:

• 1. Universal Design for Learning
• 1. PRIMM Method
• 1. Semantic Waves
• 1. Active Learning
• 1. Simulation Effectiveness Studies
• 1. Engagement Versus Learning
• 1. Accessibility Standards
• 1. Keyboard Operability
• 1. Low-Bandwidth Design
• 1. Equity Considerations
• 1. Student Privacy
• 1. PII Surface
• 1. Aggregate-Only Data Policy
• 1. Data Minimization
• 1. Ethical Use of Predictions
• ...and 19 more

Diagrams, Networks, Timelines and Maps (DIAG)

Count: 30 concepts (6.5%)

Concepts:

• 1. Mermaid Library
• 1. Flowchart
• 1. Sequence Diagram
• 1. Mermaid Syntax Rules
• 1. Mermaid Hover Text
• 1. vis-network Library
• 1. Node and Edge Data
• 1. Network Layout
• 1. Concept Map
• 1. Graph Viewer
• 1. Node Selection Event
• 1. Venn Diagram
• 1. Causal Loop Diagram
• 1. Reinforcing Loop
• 1. Balancing Loop
• ...and 15 more

Batch Generation, Metadata and Reuse (BATCH)

Count: 30 concepts (6.5%)

Concepts:

• 1. Batch Generation
• 1. Spec Extraction
• 1. Specification JSON
• 1. Scaffold Generation
• 1. Status Lifecycle
• 1. Sim Status File
• 1. Resumable Pipeline
• 1. Parallel Workers
• 1. Coordinator Pattern
• 1. Chapter Diagram Coverage
• 1. Navigation Update
• 1. Iframe Insertion
• 1. Nav Status Icon
• 1. Generation Cost
• 1. Dublin Core Metadata
• ...and 15 more

Image Overlays and Posters (OVL)

Count: 28 concepts (6.1%)

Concepts:

• 1. Image Overlay
• 1. Callout Label
• 1. Hover Zone
• 1. Point-Marker Overlay
• 1. Overlay Data File
• 1. Overlay Image Prompt
• 1. Text-Free Image Rule
• 1. Overlay Height Pinning
• 1. Grid Overlay
• 1. Comparison Poster
• 1. Poster Column Zone
• 1. Percentage Rectangle Zone
• 1. Explore Mode
• 1. Quiz Mode
• 1. Zone Summary and Facts
• ...and 13 more

LRS-Lite (LITE)

Count: 28 concepts (6.1%)

Concepts:

• 1. LRS-Lite
• 1. Serverless LRS
• 1. Statement Volume Estimate
• 1. Statement Size Measurement
• 1. Session Summary Statement
• 1. Compact Mode
• 1. Full Mode
• 1. Loss of Focus Event
• 1. Answers Never Folded
• 1. Producer-Side Summarization
• 1. Browser Database
• 1. IndexedDB Storage
• 1. 10 MB Budget
• 1. Storage Meter
• 1. Quota and Eviction
• ...and 13 more

Learning Objectives and Bloom (OBJ)

Count: 26 concepts (5.6%)

Concepts:

• 1. Course Description
• 1. Concept
• 1. Learning Graph
• 1. Concept Dependency
• 1. Learning Objective
• 1. Measurable Objective
• 1. Learning Outcome
• 1. Bloom's Taxonomy
• 1. Remember Level
• 1. Understand Level
• 1. Apply Level
• 1. Analyze Level
• 1. Evaluate Level
• 1. Create Level
• 1. Bloom Verb
• ...and 11 more

AI Generation and Skills (GEN)

Count: 24 concepts (5.2%)

Concepts:

• 1. MicroSim Generator Skill
• 1. Skill Reference Guide
• 1. Skill Template Asset
• 1. Specification Block
• 1. Diagram Specification
• 1. Drawing Specification
• 1. Prompt Design
• 1. System Prompt
• 1. Rules File
• 1. Iterative Refinement
• 1. Claude Code
• 1. Debugging AI Code
• 1. Code Review of AI Output
• 1. Skill Invocation
• 1. Agent Workflow
• ...and 9 more

p5.js MicroSims (P5)

Count: 22 concepts (4.8%)

Concepts:

• 1. p5.js Sketch
• 1. setup() Function
• 1. draw() Function
• 1. Global Variables
• 1. Canvas Creation
• 1. Coordinate System
• 1. Shape Drawing
• 1. Color Model
• 1. Animation Loop
• 1. Frame Rate
• 1. Vectors
• 1. Physics Simulation
• 1. Collision Detection
• 1. Particle System
• 1. Slider Control
• ...and 7 more

Charts, Plots and Tables (CHRT)

Count: 20 concepts (4.3%)

Concepts:

• 1. Chart.js Library
• 1. Chart Configuration
• 1. Chart Dataset
• 1. Bar Chart
• 1. Line Chart
• 1. Pie Chart
• 1. Scatter Plot
• 1. Bubble Chart
• 1. Priority Matrix
• 1. Chart Tooltip
• 1. Plotly Library
• 1. Function Plot
• 1. Slider-Driven Plot
• 1. Data Table
• 1. Comparison Table
• ...and 5 more

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 4.3%)
• ✅ 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