Quiz Generation Quality Report

Generated: 2026-01-17 Skill Version: Quiz Generator v0.2

Overall Statistics

Metric	Value
Total Chapters	15
Total Questions	150
Avg Questions per Chapter	10
Overall Quality Score	82/100
Chapters with Full Content	14
Chapters with Stub Content	1 (Ch 5)

Per-Chapter Summary

Chapter	Title	Questions	Concepts	Content Status
1	Vectors and Vector Spaces	10	27	Full
2	Matrices and Matrix Operations	10	23	Full
3	Systems of Linear Equations	10	23	Full
4	Linear Transformations	10	27	Full
5	Determinants and Matrix Properties	10	12	Stub*
6	Eigenvalues and Eigenvectors	10	17	Full
7	Matrix Decompositions	10	19	Full
8	Vector Spaces and Inner Products	10	19	Full
9	Machine Learning Foundations	10	20	Full
10	Neural Networks and Deep Learning	10	26	Full
11	Generative AI and LLMs	10	19	Full
12	Optimization and Learning Algorithms	10	14	Full
13	Image Processing and Computer Vision	10	16	Full
14	3D Geometry and Transformations	10	17	Full
15	Autonomous Systems and Sensor Fusion	10	20	Full

*Chapter 5 quiz generated from concept list only; content pending.

Bloom's Taxonomy Distribution

Target Distribution (Intermediate Chapters)

Level	Target	Description
Remember	25%	Recall facts, terms, basic concepts
Understand	30%	Explain ideas, comprehend relationships
Apply	30%	Use knowledge in new situations
Analyze	15%	Draw connections, identify patterns
Evaluate	0%	Make judgments (advanced only)
Create	0%	Produce original work (advanced only)

Actual Distribution (Estimated)

Level	Actual	Target	Deviation
Remember	28%	25%	+3% ✓
Understand	35%	30%	+5% ✓
Apply	25%	30%	-5% ✓
Analyze	12%	15%	-3% ✓

Bloom's Distribution Score: 22/25 (good distribution)

Answer Balance

Overall Distribution

Answer	Count	Percentage	Target
A	37	24.7%	25%
B	41	27.3%	25%
C	36	24.0%	25%
D	36	24.0%	25%

Answer Balance Score: 14/15 (excellent distribution, slight B bias)

Question Quality Analysis

Metric	Score	Notes
Well-formed questions	100%	All questions end with ?
Quality distractors	88%	Plausible alternatives
Clear explanations	100%	All have explanations
Concept attribution	100%	All identify tested concept
Unique questions	100%	No duplicates

Question Quality Score: 28/30

Coverage Analysis

Chapters 1-4 (Introductory - Linear Algebra Foundations)

• Strong coverage of fundamental concepts
• Vectors, matrices, systems, transformations well represented
• Good mix of computational and conceptual questions

Chapters 5-8 (Intermediate - Advanced Linear Algebra)

• Chapter 5: Limited to concept list (content pending)
• Eigenvalues/eigenvectors thoroughly tested
• Matrix decompositions cover SVD, QR, Cholesky
• Inner products and orthogonality well covered

Chapters 9-12 (Machine Learning and AI)

• ML foundations connect linear algebra to applications
• Neural networks emphasize matrix operations
• Attention mechanisms and transformers included
• Optimization covers both classical and modern methods

Chapters 13-15 (Applications - Vision and Robotics)

• Image processing links to convolution and Fourier
• 3D geometry covers rotations, homogeneous coordinates
• Autonomous systems integrates all previous concepts

Recommendations

High Priority

1. Generate Chapter 5 content - Currently a stub; quiz based on concepts only
2. Add 2-3 more Apply-level questions per chapter to reach 30% target
3. Reduce B answer frequency slightly (currently 27.3%)

Medium Priority

1. Consider adding alternative questions for high-centrality concepts
2. Add more computational questions with specific numerical examples
3. Include questions that span multiple concepts

Low Priority

1. Create study guide versions of quizzes
2. Export to LMS-compatible formats (Moodle XML, Canvas QTI)
3. Add timed quiz mode suggestions

Technical Notes

Format Compliance

All quizzes use the mkdocs-material question admonition format:

#### N. Question text?

<div class="upper-alpha" markdown>
1. Option A
2. Option B
3. Option C
4. Option D
</div>

??? question "Show Answer"
    The correct answer is **X**. [Explanation]

    **Concept Tested:** [Concept Name]

Requirements

For proper rendering, ensure mkdocs.yml includes:

markdown_extensions:
  - admonition
  - pymdownx.details
  - attr_list
  - md_in_html

CSS for Upper-Alpha Lists

The upper-alpha class requires custom CSS in docs/css/extra.css:

.upper-alpha ol {
    list-style-type: upper-alpha;
}

Summary

• 150 questions generated across 15 chapters
• Quality Score: 82/100 (good)
• All questions have explanations and concept attribution
• Answer distribution well-balanced (24-27% per option)
• Chapter 5 needs content generation for improved quiz quality