Taxonomy Distribution Report

Overview

• Total Concepts: 295
• Number of Taxonomies: 13
• Average Concepts per Taxonomy: 22.7

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
RLIT	RLIT	69	23.4%	✅
WRITE	WRITE	47	15.9%	✅
RINF	RINF	38	12.9%	✅
LANG	LANG	33	11.2%	✅
SPEAK	SPEAK	19	6.4%	✅
BIAS	BIAS	18	6.1%	✅
Foundation Concepts - Prerequisites	FOUND	14	4.7%	✅
CRIT	CRIT	14	4.7%	✅
AIWR	AIWR	14	4.7%	✅
CAP	CAP	9	3.1%	✅
MLIT	MLIT	8	2.7%	ℹ️ Under
SYS	SYS	8	2.7%	ℹ️ Under
RES	RES	4	1.4%	ℹ️ Under

Visual Distribution

RLIT                      ███████████  69 ( 23.4%)
WRITE                     ███████  47 ( 15.9%)
RINF                      ██████  38 ( 12.9%)
LANG                      █████  33 ( 11.2%)
SPEAK                     ███  19 (  6.4%)
BIAS                      ███  18 (  6.1%)
Foundation Concepts - Pre ██  14 (  4.7%)
CRIT                      ██  14 (  4.7%)
AIWR                      ██  14 (  4.7%)
CAP                       █   9 (  3.1%)
MLIT                      █   8 (  2.7%)
SYS                       █   8 (  2.7%)
RES                          4 (  1.4%)

Balance Analysis

✅ No Over-Represented Categories

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

ℹ️ Under-Represented Categories (<3%)

• MLIT (MLIT): 8 concepts (2.7%)
• Note: Small categories are acceptable for specialized topics
• SYS (SYS): 8 concepts (2.7%)
• Note: Small categories are acceptable for specialized topics
• RES (RES): 4 concepts (1.4%)
• Note: Small categories are acceptable for specialized topics

Category Details

RLIT (RLIT)

Count: 69 concepts (23.4%)

Concepts:

• 1. Literary Genres
• 1. Fiction
• 1. Nonfiction
• 1. Drama
• 1. Poetry
• 1. Short Story
• 1. Novel
• 1. Novella
• 1. Memoir
• 1. Essay
• 1. Epic Poetry
• 1. Tragedy
• 1. Comedy
• 1. Sonnet
• 1. Lyric Poetry
• ...and 54 more

WRITE (WRITE)

Count: 47 concepts (15.9%)

Concepts:

• 1. Argument Writing
• 1. Informative Writing
• 1. Explanatory Writing
• 1. Narrative Writing
• 1. Writing Modes Comparison
• 1. Writing Process
• 1. Prewriting and Planning
• 1. Drafting
• 1. Revising
• 1. Editing
• 1. Publishing
• 1. Task Purpose and Audience
• 1. Tone and Register
• 1. Essay Structure
• 1. Thesis Statement
• ...and 32 more

RINF (RINF)

Count: 38 concepts (12.9%)

Concepts:

• 1. Informational Text
• 1. Central Idea (Informational)
• 1. Supporting Details
• 1. Summarizing
• 1. Paraphrasing
• 1. Rhetoric
• 1. Argument
• 1. Claims
• 1. Counterclaims
• 1. Evidence Types
• 1. Reasoning
• 1. Warrant
• 1. Rhetorical Appeals
• 1. Ethos
• 1. Pathos
• ...and 23 more

LANG (LANG)

Count: 33 concepts (11.2%)

Concepts:

• 1. Standard English Grammar
• 1. Parts of Speech
• 1. Nouns and Pronouns
• 1. Verbs and Verb Tenses
• 1. Adjectives and Adverbs
• 1. Prepositions
• 1. Conjunctions
• 1. Sentence Types
• 1. Simple Sentence
• 1. Compound Sentence
• 1. Complex Sentence
• 1. Compound-Complex Sentence
• 1. Phrases and Clauses
• 1. Independent Clause
• 1. Dependent Clause
• ...and 18 more

SPEAK (SPEAK)

Count: 19 concepts (6.4%)

Concepts:

• 1. Academic Discussion
• 1. Structured Discussion
• 1. Collaborative Conversation
• 1. Active Listening
• 1. Speaking Skills
• 1. Presentation Skills
• 1. Oral Presentation
• 1. Multimedia Presentation
• 1. Digital Media Integration
• 1. Visual Displays
• 1. Formal English
• 1. Code-Switching
• 1. Civil Disagreement
• 1. Evidence-Based Discussion
• 1. Evaluating a Speaker
• ...and 4 more

BIAS (BIAS)

Count: 18 concepts (6.1%)

Concepts:

• 1. Cognitive Bias
• 1. Confirmation Bias
• 1. Availability Heuristic
• 1. Anchoring Bias
• 1. In-Group Favoritism
• 1. Framing Effect
• 1. Dunning-Kruger Effect
• 1. Bandwagon Effect
• 1. Sunk Cost Fallacy
• 1. Hindsight Bias
• 1. Attribution Bias
• 1. Survivorship Bias
• 1. Recency Bias
• 1. Halo Effect
• 1. False Consensus Effect
• ...and 3 more

Foundation Concepts - Prerequisites (FOUND)

Count: 14 concepts (4.7%)

Concepts:

• 1. English Language Arts Overview
• 1. Common Core ELA Standards
• 1. College and Career Readiness
• 1. Grades 9-10 Standards Band
• 1. Grades 11-12 Standards Band
• 1. Five ELA Strands
• 1. CCR Anchor Standards
• 1. Close Reading
• 1. Textual Evidence
• 1. Text Complexity
• 1. Lexile Level
• 1. Independent Reading
• 1. Academic Vocabulary
• 1. Domain-Specific Vocabulary

CRIT (CRIT)

Count: 14 concepts (4.7%)

Concepts:

• 1. Critical Thinking
• 1. Logical Reasoning
• 1. Questioning Assumptions
• 1. Annotation and Marking
• 1. Argumentation Skills
• 1. Rhetorical Analysis
• 1. Logical Fallacies
• 1. Ad Hominem Fallacy
• 1. Straw Man Fallacy
• 1. False Dichotomy
• 1. Slippery Slope Fallacy
• 1. Appeal to Authority
• 1. Circular Reasoning
• 1. Hasty Generalization

AIWR (AIWR)

Count: 14 concepts (4.7%)

Concepts:

• 1. AI Impact on Writing
• 1. AI Writing Tools Overview
• 1. Cowriting with AI
• 1. AI for Brainstorming
• 1. AI Feedback on Writing
• 1. AI for Outlining and Org
• 1. Prompt Engineering for Writing
• 1. Ethical AI Use in Academics
• 1. Academic Dishonesty with AI
• 1. AI-Generated Text Detection
• 1. AI Disclosure and Citation
• 1. AI Limitations in Writing
• 1. Preserving Voice with AI
• 1. Critical Eval of AI Output

CAP (CAP)

Count: 9 concepts (3.1%)

Concepts:

• 1. Capstone Project
• 1. Senior Research Thesis
• 1. Oral Defense
• 1. Literary Portfolio
• 1. Rhetorical Analysis Project
• 1. Literary Criticism Portfolio
• 1. Civic Engagement Portfolio
• 1. Public Letter Writing
• 1. Audience Awareness

MLIT (MLIT)

Count: 8 concepts (2.7%)

Concepts:

• 1. Media Literacy
• 1. Digital Literacy
• 1. Source Evaluation
• 1. Fact-Checking Skills
• 1. Misinformation Detection
• 1. Social Media Literacy
• 1. Propaganda Techniques
• 1. Emotional Manipulation in Media

SYS (SYS)

Count: 8 concepts (2.7%)

Concepts:

• 1. Systems Thinking
• 1. Feedback Loops
• 1. Balancing Feedback Loops
• 1. Reinforcing Feedback Loops
• 1. Causal Loop Diagrams
• 1. Unintended Consequences
• 1. Holistic Problem Analysis
• 1. Second-Order Effects

RES (RES)

Count: 4 concepts (1.4%)

Concepts:

• 1. Research Methodology
• 1. Library and Database Research
• 1. Evaluating Research Sources
• 1. Synthesizing Multiple Sources

Recommendations

• ✅ Good balance: Categories are reasonably distributed (spread: 22.0%)
• ✅ 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