Skip to content

References: Advanced Dependency Modeling

  1. Prerequisite - Wikipedia - Surveys how prerequisites function in educational curricula, background for this chapter's distinction between Necessary Prerequisite and Recommended Prerequisite.

  2. Curriculum sequencing - Wikipedia - Covers how course content is ordered to respect prerequisite structure, directly relevant to this chapter's Learning Sequence and Parallel Learning Paths sections.

  3. Data quality - Wikipedia - Frames correctness, completeness, and validity as reviewable properties of asserted data, the general quality-assurance lens this chapter applies specifically to dependency edges in its Dependency Review section.

  4. Provenance - Wikipedia - Explains provenance as a record of origin and custody, background for this chapter's Edge Provenance section, which applies the idea specifically to dependency assertions.

  5. Confidence interval - Wikipedia - Introduces confidence as a formal, gradable measure of certainty in a claim, conceptual background for this chapter's Dependency Confidence section, though applied qualitatively rather than statistically here.

  6. Human-in-the-loop - Wikipedia - Explains the general pattern of a human reviewing or correcting an automated system's output, directly underlying this chapter's Human Dependency Review section as applied to inferred dependency edges.

  7. Mastery learning - Wikipedia - Defines mastery as demonstrated competence rather than mere exposure, the standard this chapter's Mastery Prerequisite section requires before a dependent concept is considered unlocked.

  8. Partially ordered set - Wikipedia - Formalizes why a dependency graph typically permits more than one valid ordering, the mathematical basis for this chapter's Learning Sequence and Parallel Learning Paths sections.

  9. Retrieval-augmented generation - Wikipedia - Background on how generative-AI systems ground proposed outputs in source material, relevant context for how a Dependency Inference pass proposes edges that still require human verification.

  10. Extend Claude with skills - Anthropic - Documents how an agent skill like learning-graph-generator proposes dependency edges for human review, the concrete workflow this chapter's Dependency Inference and Human Dependency Review sections describe.