Skip to content

FAQ Quality Report

Generated: 2026-04-11

Overall Statistics

  • Total Questions: 91
  • Overall Quality Score: 68/100
  • Content Completeness Score: 92/100 (excellent — full course description, complete glossary, 17 chapters, 265-concept learning graph)
  • Concept Coverage: 54% (143 / 265 concepts)
  • Categories: 6
  • Average Answer Word Count: 83 words

Category Breakdown

Category Questions Avg Bloom Notes
Getting Started 12 Remember / Understand Course intro, audience, schedule, mascot
Core Concepts 27 Understand All eight subject modules represented
Technical Details 20 Remember / Understand Vocabulary, browser & device terms
Common Challenges 12 Apply "What if…" scenarios, troubleshooting
Best Practices 12 Apply "How do I…" how-to questions
Advanced Topics 8 Analyze / Evaluate / Create Footprint, algorithms, bias, toolkit

Bloom's Taxonomy Distribution

Aggregate target derived from per-category targets in the skill spec.

Level Actual Target Deviation
Remember 31% (28) 21% +10
Understand 33% (30) 32% +1
Apply 31% (28) 25% +6
Analyze 4% (4) 14% -10
Evaluate 0% (0) 4% -4
Create 1% (1) 3% -2
Total deviation ~32%

Bloom Score: 10/25 — total deviation just above 30%. The FAQ format leans toward Remember / Understand / Apply because students typically search FAQs for definitions and how-to answers. The shortage is in Analyze / Evaluate / Create, which would require comparison-style and design-style questions. See recommendations below.

Answer Quality Analysis

Metric Actual Target Score
Answers with examples / scenarios 56 / 91 (62%) ≥40% 7 / 7
Answers with source links 85 / 91 (93%) ≥60% 7 / 7
Average word count 83 100–300 4 / 6
Complete answers 91 / 91 (100%) 100% 5 / 5
Answer Quality Score 23 / 25

The average answer is slightly below the 100-word floor. Many answers are concise on purpose (Grade 5 readability), but Core Concept and Advanced Topic answers could be expanded with one or two more sentences of context.

Concept Coverage

  • Total concepts in learning graph: 265
  • Concepts referenced in FAQ: 143
  • Coverage: 54%
  • Coverage Score: 15 / 30

Coverage is moderate. The FAQ touches every cluster in the learning graph but skips many fine-grained capstone artifacts (e.g., Personal Pledge, Reflection Journal, Buddy Class Sharing) that are pedagogical activities rather than answerable questions, plus a number of granular vocabulary terms that students are unlikely to search for by name.

A separate document, FAQ Coverage Gaps, lists the uncovered concepts grouped by priority.

Organization Quality

Check Result
Logical categorization Pass
Progressive difficulty (basic → advanced) Pass
No duplicate questions Pass
Clear, searchable question phrasing Pass
Organization Score 20 / 20
  • Total internal links: 96
  • Anchor links (#fragment): 0 (compliant — hard rule satisfied)
  • Broken links: 0
  • Unique chapter targets linked: 17 of 17 chapters

Overall Quality Score: 68 / 100

Component Earned Possible
Coverage 15 30
Bloom's Distribution 10 25
Answer Quality 23 25
Organization 20 20
Total 68 100

The overall score is below the 75-point success threshold. The two pull-down factors are (1) moderate concept coverage and (2) Bloom's distribution that under-represents Analyze / Evaluate / Create. Both are improvable; see recommendations.

Recommendations

High Priority

  1. Add 6–8 Analyze-level questions comparing pairs of related concepts. Examples:
    • "What is the relationship between data tracking and clickbait?"
    • "How are cyberbullying and ordinary online conflict different?"
    • "Why does a trusted source matter more than a viral post?"
  2. Add 3–4 Evaluate-level questions that ask students to make a judgment:
    • "Which is the best way to respond to a mean comment?"
    • "When should I block someone vs. report someone?"
  3. Add 2–3 Create-level questions about producing original work:
    • "How would I design a Family Media Plan that fits my home?"
    • "How would I write my own Personal Pledge?"
  4. Lengthen the shortest answers (below 80 words) by one or two sentences of context, especially in the Core Concepts and Advanced Topics sections, to reach the 100-word minimum target.

Medium Priority

  1. Add questions for high-value uncovered concepts (see FAQ Coverage Gaps):
    • Two-Factor Authentication
    • Phishing Basics
    • Block / Report / Mute Features
    • Targeted Ad
    • Edited Image
    • Stranger Online
    • Healthy Habits
  2. Cross-link more answers to multiple chapters when a concept spans modules (e.g., privacy concepts that recur in Chapters 5, 6, and 7).

Low Priority

  1. Consider adding a Bloom-level field directly to chapter content for cross-validation.
  2. Consider an "FAQ search index" for fuzzy keyword search in the chatbot data.
  3. Re-run this report after Round 2 of FAQ additions to track score improvement.

Suggested Additional Questions

Based on coverage gaps and Bloom shortfalls, consider adding these in a follow-up pass:

Core Concepts (gap fillers):

  1. What is two-factor authentication, and why does it matter?
  2. What is phishing, and how do I spot it?
  3. What is the difference between blocking, muting, and reporting?
  4. What is a targeted ad, and how does it know about me?
  5. What is a stranger online, and why is the rule different from a stranger in real life?

Analyze / Evaluate / Create boosters:

  1. How is cyberbullying different from a one-time online conflict? (Analyze)
  2. Why does a viral post deserve more skepticism than a normal post? (Analyze)
  3. Which is more important — strong passwords or two-factor authentication? (Evaluate)
  4. When is it okay to ignore a mean comment, and when should I report it? (Evaluate)
  5. How would I design a Personal Pledge for my own family? (Create)
  6. How would I plan a one-week Digital Habit Tracker for myself? (Create)

Notes

  • The FAQ deliberately follows the Grade 5 voice rules from CLAUDE.md: short sentences, no slang, no platform names, no scary language, and no Maka admonitions (Maka is for chapter content only).
  • All links point to chapter or page files only — zero anchor fragments — to satisfy the hard rule about anchor link fragility.
  • Source data: docs/course-description.md, docs/learning-graph/concept-list.md, docs/glossary.md, and all 17 chapter index.md files (~50,000 words of source content).
Page Feedback — Leave a comment or reaction below. Requires a GitHub account.