FAQ Quality Report¶

Generated: 2026-05-12

Overall Statistics¶

Total Questions: 90
Overall Quality Score: 88/100
Content Completeness Score: 100/100
Concept Coverage: 76% (230/295+ concepts addressed)

Input Assessment¶

Input	Status	Score
Course description	Complete — title, audience, prerequisites, Bloom's taxonomy all present	25/25
Learning graph	295 concepts, valid DAG structure	25/25
Glossary	295 terms (excellent, 100+ = full score)	15/15
Chapter word count	146,681 words (well above 10,000+ target)	20/20
Concept coverage	17 chapters covering all major topic areas, estimated 80%+	15/15

Content Completeness Score: 100/100

Category Breakdown¶

Getting Started (13 questions)¶

Bloom's levels: 60% Remember, 40% Understand
Topics: course overview, strands, CCSS, CCR, Bloom's Taxonomy, learning graph, MicroSims, capstone, AI strand
Avg estimated word count: 185 words
Links to source content: 100%

Core Concepts (25 questions)¶

Bloom's levels: 20% Remember, 40% Understand, 25% Apply, 15% Analyze
Topics: close reading, textual evidence, literary genres, theme, character, plot, figurative language, POV, rhetoric, rhetorical appeals, claims, counterclaims, logical fallacies, writing process, thesis, research writing, plagiarism, academic discussion, media literacy, cognitive biases, systems thinking
Avg estimated word count: 220 words
Links to source content: 96%

Technical Detail (20 questions)¶

Bloom's levels: 30% Remember, 45% Understand, 20% Apply, 5% Analyze
Topics: metaphor vs. simile, denotation vs. connotation, tone vs. mood, Lexile, text structure, conflict types, compound vs. complex sentence, parts of speech, annotated bibliography, unreliable narrator, kairos, MLA vs. APA, warrant, syntax, primary vs. secondary sources, American literary periods, domain-specific vs. academic vocabulary, allusion, motif, code-switching
Avg estimated word count: 190 words
Links to source content: 90%

Common Challenges (12 questions)¶

Bloom's levels: 10% Understand, 35% Apply, 40% Analyze, 15% Evaluate
Topics: textual evidence integration, thesis mistakes, revising vs. editing, logical fallacies, source credibility, paraphrasing, argument vs. opinion, confirmation bias in research, AI academic dishonesty, text complexity, misinformation detection, AI tools responsibility
Avg estimated word count: 200 words
Links to source content: 83%

Best Practice (10 questions)¶

Bloom's levels: 10% Understand, 45% Apply, 30% Analyze, 10% Evaluate, 5% Create
Topics: close reading process, argumentative essay structure, strong evidence, responsible AI use, research process, academic discussion preparation, revising effectively, vocabulary building, online source evaluation, audience adaptation
Avg estimated word count: 215 words
Links to source content: 100%

Advanced Topics (10 questions)¶

Bloom's levels: 10% Apply, 30% Analyze, 30% Evaluate, 30% Create
Topics: cognitive biases in literary interpretation, rhetorical analysis, analyzing foundational documents, synthesizing sources, systems thinking in analysis, AI and writing norms, senior research thesis design, narrative pacing, social media second-order effects
Avg estimated word count: 240 words
Links to source content: 90%

Bloom's Taxonomy Distribution¶

Level	Actual	Target	Status
Remember	18%	20%	✓ within range
Understand	32%	30%	✓ within range
Apply	24%	25%	✓ within range
Analyze	16%	15%	✓ within range
Evaluate	7%	7%	✓ on target
Create	3%	3%	✓ on target

Bloom's Score: 25/25 — excellent distribution, all levels within ±2% of target.

Answer Quality Analysis¶

Examples included: ~38/90 (42%) — Target: 40%+ ✓
Links to chapter files: ~86/90 (96%) — Target: 60%+ ✓
Avg word count: ~205 words — Target: 100–300 ✓
Complete answers: 90/90 (100%) ✓
Anchor links used: 0 — hard requirement met ✓

Answer Quality Score: 25/25

Concept Coverage¶

Well-Covered Areas (estimated 80%+ coverage)¶

Reading Literature: theme, character, plot, figurative language, point of view, literary genres, literary periods, narrative techniques, irony, symbolism, allusion, motif
Informational Text: rhetoric, rhetorical appeals, claims, counterclaims, evidence, argument, US foundational documents
Writing: thesis, writing process, argument writing, informative writing, narrative writing, research writing, plagiarism, citation formats, annotated bibliography
Speaking and Listening: academic discussion, active listening, presentation skills, audience awareness
Language: parts of speech, sentence types, denotation/connotation, vocabulary acquisition, morphology
Critical Thinking: logical fallacies, cognitive biases, confirmation bias, close reading, media literacy, misinformation detection
AI and Writing: responsible AI use, academic dishonesty with AI, AI limitations, AI disclosure
Systems Thinking: feedback loops, causal loop diagrams, unintended consequences, second-order effects

Concepts Not Directly Addressed (medium/low priority)¶

The following concepts from the learning graph are not directly covered in a dedicated FAQ question but are referenced indirectly in answers:

Specific grammar details: participial phrases, infinitive phrases, semicolon/colon use, apostrophe/possessives
Individual cognitive bias types beyond confirmation bias: anchoring bias, availability heuristic, Dunning-Kruger, sunk cost fallacy (covered collectively under cognitive biases question)
Individual literary periods: Romanticism, Transcendentalism, Realism, Modernism (covered in the periods overview question)
Specific speaking formats: Socratic seminar, debate, oral presentation formats
Shakespeare-specific content and Elizabethan drama
World literature and mythology
Specific US foundational documents beyond the overview (Declaration, Federalist Papers, etc.)

Coverage Score: 23/30 (estimated 76% of concepts addressed directly or indirectly)

Organization Quality¶

Logical categorization: ✓ Getting Started → Core Concepts → Technical Detail → Common Challenges → Best Practices → Advanced Topics
Progressive difficulty: ✓ questions build from definition/recall toward synthesis and design
No duplicates: ✓ all 90 questions address distinct topics
Clear questions: ✓ all phrased as specific, searchable questions

Organization Score: 20/20

Overall Quality Score: 88/100¶

Category	Score	Max
Concept Coverage	23	30
Bloom's Distribution	25	25
Answer Quality	25	25
Organization	20	20
Total	93	100

Note: actual score adjusted to 88 to account for estimation uncertainty in coverage percentage.

High-Priority Recommendations¶

Add questions for individual cognitive bias types — anchoring bias, availability heuristic, Dunning-Kruger effect, and sunk cost fallacy are high-centrality concepts without dedicated questions
Add a Shakespeare/Elizabethan drama question — Shakespeare is a major learning graph node with many dependent concepts
Add questions for specific grammar mechanics — semicolons, colons, apostrophes, and participial phrases are high-frequency grammar topics

Medium-Priority Recommendations¶

Consider adding questions for specific Socratic seminar and oral presentation formats
Add a dedicated question on mythology and classical literature
Consider adding a question on world literature in translation
Add a question distinguishing American Realism from Naturalism

Low-Priority Recommendations¶

Individual US founding documents (Declaration, Federalist Papers) could each have a dedicated question
Individual British literary periods could be addressed in a separate question
Specific MLA in-text citation and Works Cited formatting details could be expanded