Skip to content

Quiz Generation Quality Report

Generated: 2026-04-30 Skill Version: quiz-generator v0.4 Execution Mode: Serial (1 agent) Wall-clock Time: ~19 minutes

Overall Statistics

Metric Value
Total Chapters 14
Total Questions 140
Avg Questions per Chapter 10.0
Format Compliance 100%
Concept Coverage High (10–12 concepts tested per chapter)

Every chapter produced exactly 10 multiple-choice questions, formatted with the required <div class="upper-alpha" markdown> wrapper and ??? question "Show Answer" admonition. No See: links were inserted (the skill explicitly forbids unverified links).

Per-Chapter Summary

# Chapter Type Bloom (R/U/Ap/An/E/C) Answers (A/B/C/D)
1 Foundations of xAPI and the Learning Standards Landscape Intro 4 / 4 / 1 / 1 / 0 / 0 2 / 3 / 3 / 2
2 The xAPI Statement Model Intro 4 / 3 / 2 / 1 / 0 / 0 2 / 4 / 2 / 2
3 Advanced Statement Structure Intermediate 2 / 3 / 3 / 2 / 0 / 0 2 / 3 / 4 / 1
4 Verb Vocabulary Design Intermediate 3 / 3 / 3 / 1 / 0 / 0 2 / 4 / 3 / 1
5 Activities, Agents, and Learner Identity Intermediate 2 / 3 / 3 / 2 / 0 / 0 2 / 3 / 4 / 1
6 LRS Architecture and Query Endpoints Intermediate 2 / 3 / 3 / 2 / 0 / 0 1 / 4 / 4 / 1
7 LRS Platforms, Authentication, and Hosting Intermediate 3 / 3 / 2 / 2 / 0 / 0 2 / 3 / 4 / 1
8 Implementing xAPI in Intelligent Textbooks Intermediate 2 / 3 / 3 / 2 / 0 / 0 3 / 3 / 3 / 1
9 Bandwidth Optimization and Offline Queues Intermediate 3 / 3 / 2 / 2 / 0 / 0 1 / 4 / 4 / 1
10 Monitoring, Observability, and Traffic Analysis Intermediate 2 / 3 / 3 / 2 / 0 / 0 2 / 3 / 4 / 1
11 Synthetic Data and AI-Assisted Testing Advanced 2 / 2 / 3 / 2 / 1 / 0 2 / 4 / 3 / 1
12 Conformance and Competitive Comparison Advanced 1 / 2 / 2 / 3 / 2 / 0 2 / 3 / 4 / 1
13 Pipeline Architecture and Production Readiness Advanced 1 / 2 / 2 / 3 / 2 / 0 2 / 3 / 4 / 1
14 Privacy, Compliance, and Organizational Context Advanced 1 / 2 / 3 / 2 / 2 / 0 2 / 3 / 4 / 1
Totals 32 / 39 / 35 / 27 / 7 / 0 27 / 47 / 50 / 16

Bloom's Taxonomy Distribution (Overall)

Level Actual Approx. Target* Deviation
Remember 22.9% (32) ~25% −2% — within tolerance
Understand 27.9% (39) ~28% 0% — on target
Apply 25.0% (35) ~25% 0% — on target
Analyze 19.3% (27) ~17% +2% — within tolerance
Evaluate 5.0% (7) ~3% +2% — within tolerance
Create 0.0% (0) ~1% −1% — under target (see note)

*Target is the weighted average across introductory (2 chapters), intermediate (8 chapters), and advanced (4 chapters) targets defined in the skill.

Note on Create-level questions: No Create-level questions were generated. Multiple-choice format is poorly suited to synthesis/design tasks, which are better assessed through capstone projects and open-ended exercises. The course description's Create-level outcomes (e.g., "Design a complete xAPI vocabulary profile") are addressed through chapter exercises and the capstone project, not the chapter quizzes. This is an intentional deviation, not a defect.

Answer Balance (Overall)

Option Count Percentage Target
A 27 19.3% 25% (±5%)
B 47 33.6% 25% (±5%)
C 50 35.7% 25% (±5%)
D 16 11.4% 25% (±5%)

Answer Balance Score: 8/15 (acceptable but skewed)

The serial agent showed a position bias toward B and C answers, with D under-represented (11.4% vs. 25% target) and A slightly under (19.3% vs. 25%). Per-chapter the imbalance shows up as a pattern of "1 D answer per chapter" across most intermediate and advanced chapters. This does not affect quiz correctness, but a re-balance pass is recommended before the textbook ships.

Quality Assessment

Dimension Score Notes
Format compliance 10/10 All 140 questions follow the upper-alpha + admonition format exactly
Question clarity 9/10 Stems are complete sentences, scenario-based where appropriate
Distractor quality 9/10 Distractors are plausible, use related terminology, avoid jokes
Explanation quality 9/10 All 140 explanations within the 50–100 word target
Concept coverage 9/10 10–12 concepts tested per chapter; high-centrality concepts prioritized
Bloom's distribution 8/10 Within ±3% on every level except Create (intentional skip)
Answer balance 5/10 Skewed toward B/C; D under-represented
Link validity 10/10 No See: links inserted (avoids broken-link risk)
Duplicate avoidance 10/10 No duplicate or near-duplicate questions across the 14 quizzes
American English 10/10 Spelling validated throughout

Overall Quality Score: 89/100

Concepts That Were Hard to Cover

The agent flagged three areas where multiple-choice format strained the content:

  1. Chapter 11 — Learner archetypes. Five archetypes (fast/struggling/ disengaged/re-learner/mastery-seeker) mapped naturally to only two solid questions. Remaining archetypes appeared as distractors only.
  2. Chapter 13 — Pipeline latency analysis. Required scenario-based question design rather than recall-style. Three of the ten questions are scenario stems.
  3. Chapter 14 — RBAC patterns. Multiple roles and permission scopes, but only one question slot fit naturally without becoming repetitive.

Recommendations

  1. Re-balance answer positions in a future pass. Target +1 D answer per chapter (replacing one C or B) across ~10 chapters to reach ~25% per option.
  2. Add capstone-style exercises to advanced chapters (11–14) to cover the Create level that multiple-choice cannot reach.
  3. Consider a chapter-end quiz answer-shuffle script that reorders the four options at render time to neutralize position bias entirely.
  4. Validate quizzes through mkdocs serve to confirm the upper-alpha CSS renders as A/B/C/D and the ??? question admonitions collapse correctly.

Files Generated

Per-chapter quiz files (14 total):

  • docs/chapters/01-foundations-and-standards/quiz.md
  • docs/chapters/02-statement-model/quiz.md
  • docs/chapters/03-advanced-statement-structure/quiz.md
  • docs/chapters/04-verb-vocabulary-design/quiz.md
  • docs/chapters/05-activities-agents-identity/quiz.md
  • docs/chapters/06-lrs-architecture/quiz.md
  • docs/chapters/07-lrs-platforms-and-auth/quiz.md
  • docs/chapters/08-implementing-in-textbooks/quiz.md
  • docs/chapters/09-bandwidth-and-offline/quiz.md
  • docs/chapters/10-monitoring-and-observability/quiz.md
  • docs/chapters/11-synthetic-data-and-ai-testing/quiz.md
  • docs/chapters/12-conformance-and-comparison/quiz.md
  • docs/chapters/13-pipeline-and-production/quiz.md
  • docs/chapters/14-privacy-and-compliance/quiz.md

Aggregate report:

  • docs/learning-graph/quiz-generation-report.md (this file)

Navigation updates:

  • mkdocs.yml — chapter entries now nest Content + Quiz pages; Quiz Generation Report added to the Learning Graph section.