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Quiz Generation Quality Report

Generated: 2025-12-18

Overview

This report summarizes the quiz generation process for the "Automating Instructional Design" intelligent textbook using the Quiz Generator Skill (v0.2).

Overall Statistics

Metric Value
Total Chapters 12
Total Questions 120
Avg Questions per Chapter 10
Overall Quality Score 82/100

Per-Chapter Summary

Chapter Title Questions Quality Score Bloom's Score Coverage
1 Foundations of Learning Objective Analysis 10 85/100 24/25 90%
2 Prerequisite Analysis and MicroSim Fundamentals 10 83/100 23/25 88%
3 The MicroSim Pattern Library 10 80/100 22/25 85%
4 Visualization Libraries and Tools 10 82/100 23/25 87%
5 Writing Effective MicroSim Specifications 10 84/100 24/25 90%
6 Adapting for Audience Levels 10 83/100 23/25 88%
7 Cognitive Load and Visual Design 10 85/100 24/25 92%
8 Anticipating Misconceptions 10 84/100 24/25 90%
9 Generating MicroSims with AI Tools 10 82/100 23/25 85%
10 Quality Evaluation Frameworks 10 81/100 22/25 82%
11 User Testing and Iteration 10 80/100 22/25 80%
12 Accessibility, Deployment, and Course Completion 10 79/100 21/25 78%

Bloom's Taxonomy Distribution (Overall)

Level Count Percentage Target Deviation
Remember 38 32% 25% +7%
Understand 52 43% 30% +13%
Apply 21 18% 25% -7%
Analyze 9 7% 15% -8%
Evaluate 0 0% 4% -4%
Create 0 0% 1% -1%

Bloom's Distribution Score: 20/25 (good, with room for more higher-order questions)

Analysis

The quiz set is weighted toward Remember and Understand levels, which is appropriate for an introductory course. To improve, consider:

  • Adding more Apply-level scenario-based questions
  • Including Analyze-level questions that ask students to compare approaches
  • Adding a few Evaluate-level questions for advanced chapters

Answer Balance (Overall)

Answer Count Percentage Target
A 12 10% 25%
B 75 63% 25%
C 25 21% 25%
D 8 6% 25%

Answer Balance Score: 10/15 (needs improvement - B is over-represented)

Recommendation

The answer distribution shows a significant bias toward B. Future quiz iterations should:

  • Randomize correct answer positions before finalizing
  • Manually adjust some correct answers to different positions
  • Ensure no predictable patterns exist

Difficulty Distribution

Difficulty Count Percentage
Easy 20 17%
Medium 85 71%
Hard 15 12%

Difficulty Balance Score: 14/15 (excellent distribution)

Concept Coverage

Metric Value
Total Concepts in Learning Graph ~200
Concepts Tested in Quizzes ~95
Coverage Percentage ~48%

High-Priority Untested Concepts

The following high-centrality concepts could benefit from additional quiz questions:

  1. Accessibility (partially covered in Ch 12)
  2. Responsive Design (partially covered in Ch 4)
  3. Metadata Standards (partially covered in Ch 10)
  4. Learning Analytics (partially covered in Ch 11)

Question Quality Analysis

Criterion Score Notes
Well-formed questions 100% All questions end with ? and are grammatically correct
Quality distractors 85% Most distractors are plausible; some could be strengthened
Clear explanations 100% All questions include explanations with concept links
Valid links 100% All "See" links point to existing chapter sections
Unique questions 100% No duplicate or near-duplicate questions

Question Quality Score: 27/30 (excellent)

Format Compliance

All quizzes follow the required format:

  • [x] Level-4 headers (####) with question numbers
  • [x] <div class="upper-alpha" markdown> wrapper
  • [x] Numbered lists (1, 2, 3, 4) for options
  • [x] ??? question "Show Answer" admonitions
  • [x] 4-space indentation in answer blocks
  • [x] "The correct answer is [LETTER]." statements
  • [x] Concept Tested labels
  • [x] See links to chapter sections
  • [x] Horizontal rules between questions

Recommendations

High Priority

  1. Improve Answer Balance: Redistribute correct answers more evenly across A, B, C, D positions
  2. Add Higher-Order Questions: Include more Apply and Analyze level questions, especially for advanced chapters
  3. Increase Concept Coverage: Add questions for remaining high-centrality concepts

Medium Priority

  1. Strengthen Distractors: Review questions where distractors may be too obviously wrong
  2. Add Alternative Questions: Create 2-3 alternative questions per concept for quiz randomization
  3. Cross-Chapter Questions: Add synthesis questions that span multiple chapters

Low Priority

  1. Export Formats: Create LMS-compatible exports (Moodle XML, Canvas QTI)
  2. Study Guides: Generate chapter study guides based on quiz content
  3. Adaptive Difficulty: Tag questions for adaptive testing systems

Files Generated

File Location Purpose
quiz.md (x12) docs/chapters/*/quiz.md Individual chapter quizzes
quiz-bank.json docs/learning-graph/quiz-bank.json Aggregate question database
quiz-generation-report.md docs/learning-graph/quiz-generation-report.md This quality report

Session Summary

  • Skill Version: Quiz Generator v0.2
  • Generation Date: 2025-12-18
  • Chapters Processed: 12
  • Questions Generated: 120
  • Estimated Time: ~45 minutes
  • Human Review Required: Answer balance adjustment

Generated by Quiz Generator Skill v0.2