book-chapter-generator

To structure textbook chapters from a learning graph, apply topological ordering to ensure prerequisites precede dependents, then distribute concepts evenly across 6-20 chapters with 10-20 concepts per chapter. This method produces a balanced, dependency-aware course outline.

Topological sorting in instructional design sequences learning graph concepts so every prerequisite is taught before its dependents. This ensures textbook chapters follow a valid learning path and prevents students from encountering advanced topics without foundational knowledge.

Yes, you can generate a MkDocs-ready navigation structure that includes URL-safe chapter pathways and prerequisite references. This output directly supports documentation-style textbooks by providing a navigable outline preserving exact concept names from the learning graph.

A balanced textbook chapter should contain 10-20 concepts per chapter, distributed across 6-20 total chapters. This even distribution balances chapter size and difficulty while strictly respecting the concept dependencies defined in the learning graph.

Yes, you need a course description, concept taxonomy, and an established learning graph before designing textbook chapters. These inputs allow the dependency analysis to correctly map prerequisites and distribute concepts accurately across the generated structure.

The best way to ensure every concept appears only once is to process the learning graph with a topological sort algorithm that assigns each concept to a single chapter. This prevents duplication while maintaining strict prerequisite ordering across the curriculum.