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Chapter Metrics

Generated by: Book Metrics Python Program v0.08
Generated on: June 03, 2026 at 12:10 PM

This file contains chapter-by-chapter metrics for student-facing content.

Chapter Name Sections Diagrams Equations Words Links Quiz Refs
1 Introduction to AI and Intelligent Textbooks 21 5 0 5,525 18 11 0
2 Getting Started with Claude and Skills 48 7 0 7,128 16 11 0
3 Course Design and Educational Theory 23 6 0 6,768 13 11 0
4 Introduction to Learning Graphs 16 5 0 5,826 13 11 0
5 Concept Enumeration and Dependencies 21 9 0 7,301 13 11 0
6 Learning Graph Quality and Validation 28 6 0 6,053 15 11 0
7 Taxonomy and Data Formats 29 6 0 5,959 15 11 0
8 MkDocs Platform and Documentation 17 5 0 2,912 16 11 0
9 Claude Skills Architecture and Development 32 5 4 5,493 15 11 0
10 Content Creation Workflows 27 6 0 7,096 16 11 0
11 Educational Resources and Assessment 23 4 1 11,470 16 10 0
12 Interactive Elements and MicroSims 17 6 0 8,437 16 10 0
13 Development Tools, Version Control, and Deployment 72 5 22 7,026 19 10 0
14 Running Claude on the Raspberry Pi 0 0 0 23 0 0 0
15 Installing Claude on Windows Systems for Linux (WSL) 4 0 0 169 1 0 0
16 User Global Claude 11 0 1 199 0 0 0
17 Parallel Execution of Tasks 3 0 0 468 0 0 0

Metrics Explanation

  • Chapter: Chapter number (leading zeros removed)
  • Name: Chapter title from index.md
  • Sections: Count of H2 and H3 headers in chapter markdown files
  • Diagrams: Count of H4 headers starting with '#### Diagram:'
  • Equations: LaTeX expressions using $ and $$ delimiters
  • Words: Word count across all markdown files in the chapter
  • Links: Markdown-formatted links [text](url)
  • Quiz: Number of quiz questions in the chapter's quiz.md (0 if none)
  • Refs: Number of references in the chapter's references.md (0 if none)