Taxonomy Distribution Report

Overview

• Total Concepts: 214
• Number of Taxonomies: 13
• Average Concepts per Taxonomy: 16.5

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
FUNNEL	FUNNEL	33	15.4%	✅
RISK	RISK	23	10.7%	✅
Foundation Concepts - Prerequisites	FOUND	20	9.3%	✅
CAPM	CAPM	20	9.3%	✅
PEDMOD	PEDMOD	19	8.9%	✅
STRAT	STRAT	15	7.0%	✅
LRNTECH	LRNTECH	15	7.0%	✅
GOV	GOV	15	7.0%	✅
ITB	ITB	12	5.6%	✅
AGENT	AGENT	12	5.6%	✅
GENAI	GENAI	10	4.7%	✅
EQUITY	EQUITY	10	4.7%	✅
PLAN	PLAN	10	4.7%	✅

Visual Distribution

FUNNEL                    ███████  33 ( 15.4%)
RISK                      █████  23 ( 10.7%)
Foundation Concepts - Pre ████  20 (  9.3%)
CAPM                      ████  20 (  9.3%)
PEDMOD                    ████  19 (  8.9%)
STRAT                     ███  15 (  7.0%)
LRNTECH                   ███  15 (  7.0%)
GOV                       ███  15 (  7.0%)
ITB                       ██  12 (  5.6%)
AGENT                     ██  12 (  5.6%)
GENAI                     ██  10 (  4.7%)
EQUITY                    ██  10 (  4.7%)
PLAN                      ██  10 (  4.7%)

Balance Analysis

✅ No Over-Represented Categories

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

Category Details

FUNNEL (FUNNEL)

Count: 33 concepts (15.4%)

Concepts:

• 1. Idea Funnel
• 1. Idea Generation
• 1. AI Literacy Training
• 1. Idea Submission Form
• 1. Idea Registry
• 1. Idea Metadata
• 1. Problem Statement
• 1. Idea Evaluation
• 1. Feasibility Assessment
• 1. Risk Scoring
• 1. Benefit Scoring
• 1. Cost Estimation
• 1. Scoring Rubric
• 1. Expert Review Panel
• 1. Idea Feedback Loop
• ...and 18 more

RISK (RISK)

Count: 23 concepts (10.7%)

Concepts:

• 1. Responsible AI
• 1. AI Ethics
• 1. Algorithmic Bias
• 1. Fairness In AI
• 1. Data Privacy
• 1. FERPA Compliance
• 1. COPPA Compliance
• 1. Student Data Protection
• 1. AI Hallucination Risk
• 1. Over Reliance On AI
• 1. Skill Atrophy
• 1. Academic Integrity
• 1. AI Detection Tools
• 1. Misinformation Risk
• 1. Transparency
• ...and 8 more

Foundation Concepts - Prerequisites (FOUND)

Count: 20 concepts (9.3%)

Concepts:

• 1. Artificial Intelligence
• 1. Machine Learning
• 1. Large Language Model
• 1. Generative AI
• 1. Neural Network
• 1. Training Data
• 1. Model Parameters
• 1. Foundation Model
• 1. Frontier Model
• 1. Prompt
• 1. Prompt Engineering
• 1. Context Window
• 1. Token
• 1. Inference
• 1. Hallucination
• ...and 5 more

CAPM (CAPM)

Count: 20 concepts (9.3%)

Concepts:

• 1. AI Benchmark
• 1. MMLU Benchmark
• 1. Task Horizon
• 1. METR Study
• 1. Long Task Rate
• 1. Fifty Percent Reliability
• 1. Capability Doubling
• 1. Exponential Growth
• 1. Doubling Time
• 1. Moores Law Analogy
• 1. Capability Trajectory
• 1. Capability Forecasting
• 1. Adoption Versus Capability
• 1. Reasoning Model
• 1. One Shot Task
• ...and 5 more

PEDMOD (PEDMOD)

Count: 19 concepts (8.9%)

Concepts:

• 1. Alpha School Model
• 1. Two Hour Learning
• 1. Project Based Learning
• 1. Team Based Learning
• 1. Hyperpersonalized Learning
• 1. Mastery Based Progression
• 1. Self Paced Learning
• 1. Blended Learning
• 1. Flipped Classroom
• 1. Competency Based Education
• 1. Teacher Role Shift
• 1. Mentorship Model
• 1. Socratic Method
• 1. Authentic Assessment
• 1. Formative Assessment
• ...and 4 more

STRAT (STRAT)

Count: 15 concepts (7.0%)

Concepts:

• 1. AI Strategy
• 1. Knowledge Organization
• 1. Strategic Planning
• 1. Digital Transformation
• 1. Center Of Excellence
• 1. Return On Investment
• 1. Use Case Identification
• 1. Build Versus Buy
• 1. Vendor Selection
• 1. Total Cost Of Ownership
• 1. Strategic Urgency
• 1. Competitive Advantage
• 1. Innovation Culture
• 1. Stakeholder Alignment
• 1. Executive Sponsorship

LRNTECH (LRNTECH)

Count: 15 concepts (7.0%)

Concepts:

• 1. Learning Record
• 1. xAPI Standard
• 1. Learning Record Store
• 1. Learning Analytics
• 1. AI Driven LMS
• 1. Learning Management System
• 1. Recommended Learning Plan
• 1. Personalized Learning Path
• 1. Mastery Tracking
• 1. Early Alert System
• 1. Data Interoperability
• 1. Data Portability
• 1. Student Data Ownership
• 1. Predictive Analytics
• 1. Learning Telemetry

GOV (GOV)

Count: 15 concepts (7.0%)

Concepts:

• 1. AI Governance
• 1. Centralized Governance
• 1. Decentralized Governance
• 1. AI Use Policy
• 1. Academic Integrity Policy
• 1. Change Management
• 1. Implementation Roadmap
• 1. AI Literacy Program
• 1. Professional Development
• 1. School Board Engagement
• 1. Parent Engagement
• 1. Community Engagement
• 1. Policy Framework
• 1. Pilot Program
• 1. Scaling Strategy

ITB (ITB)

Count: 12 concepts (5.6%)

Concepts:

• 1. Intelligent Textbook
• 1. Adaptive Content
• 1. Interactive Simulation
• 1. MicroSim
• 1. Open Educational Resources
• 1. Content Cost Collapse
• 1. Ten Thousand Textbooks
• 1. Textbook Procurement
• 1. Curriculum Alignment
• 1. AI Content Generation
• 1. Content Quality Assessment
• 1. Concept Learning Graph

AGENT (AGENT)

Count: 12 concepts (5.6%)

Concepts:

• 1. Personal AI Agents
• 1. AI Agent Persona
• 1. Agent Workforce
• 1. Agent Task Assignment
• 1. Multi Agent Coordination
• 1. Agent Orchestration
• 1. Agent Governance
• 1. Human Agent Collaboration
• 1. Progress Monitoring Agent
• 1. Parent Communication Agent
• 1. Term Planning Agent
• 1. Critical Thinking Agent

GENAI (GENAI)

Count: 10 concepts (4.7%)

Concepts:

• 1. Text Generation
• 1. Image Generation
• 1. Content Democratization
• 1. Open Source Models
• 1. Local AI Models
• 1. Declining AI Cost
• 1. AI Tutoring
• 1. Conversational AI
• 1. Retrieval Augmented Generation
• 1. Fine Tuning

EQUITY (EQUITY)

Count: 10 concepts (4.7%)

Concepts:

• 1. Digital Divide
• 1. Educational Equity
• 1. Access To Devices
• 1. Broadband Access
• 1. Title I Schools
• 1. Under Resourced Schools
• 1. Resource Disparity
• 1. Equity Impact Scoring
• 1. AI Access Inequality
• 1. Inclusive Design

PLAN (PLAN)

Count: 10 concepts (4.7%)

Concepts:

• 1. SWOT Analysis
• 1. Strengths Analysis
• 1. Weaknesses Analysis
• 1. Opportunities Analysis
• 1. Threats Analysis
• 1. Institutional Archetype
• 1. Gap Analysis
• 1. Strategic Roadmap
• 1. Capstone AI Strategy
• 1. Board Ready Strategy

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 10.7%)
• ✅ 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