Concept Taxonomy
16 categories covering the 400 concepts in concept-list.md. No category exceeds 30% of the total (largest is FOUND at 15.2%).
| TaxonomyID | Category | Concepts | Description |
|---|---|---|---|
| FOUND | Concept Graph Foundations | 61 | Core graph-theory vocabulary (concept, node, edge, DAG, paths, traversal, adjacency) and concept-labeling/metadata standards (SKOS, Dublin Core, ISO/IEC 11179) |
| DEPEND | Concept Dependency & Prerequisites | 44 | Prerequisite relationships, foundational/goal concepts, dependency-chain analysis, and dependency-modeling nuances (confidence, rationale, review) |
| TAXON | Concept Taxonomies & Ontologies | 30 | Building categorical taxonomies and ontologies for classifying concepts |
| QUAL | Graph Quality & Validation | 40 | DAG validation, cycle/orphan detection, connectivity, quality metrics, and graph-metric analysis (centrality, diameter, density) |
| EDUF | Educational Theory Foundations | 21 | Bloom's Taxonomy, constructivism, scaffolding, rhizombic and mastery learning already present in the course |
| LSCI | Education & Learning Sciences | 33 | Additional pedagogical theory (cognitive load, knowledge space theory, backward design, spaced repetition) explaining why DAGs drive intelligent-textbook generation |
| PERS | Learning Paths & Personalization | 23 | Adaptive learning paths, hyper-personalization, recommendation engines, and learner/mastery modeling |
| AI | Intelligent Agents & Generative AI | 12 | Generative AI workflows, prompting, RAG/GraphRAG, and intelligent agents |
| ASSESS | Assessment & Feedback | 16 | Assessments, quizzes, feedback loops, and course evaluation |
| VISCORE | Vis.js Fundamentals & Styling | 28 | Core vis.js library concepts plus node/edge visual styling properties |
| VISLAYOUT | Graph Layout, Physics & Interactivity | 24 | Physics solvers, layout algorithms, and interactive navigation (hover, click, search) |
| VISTOOLS | Graph Clustering & Editing Tools | 14 | Node clustering/grouping and interactive graph-editing tools |
| DATA | Data Formats & File Standards | 22 | JSON, CSV, YAML, Markdown, related file-format conventions, and CSV/JSON pipeline record structures |
| TEXTBOOK | Intelligent Textbooks & MicroSims | 13 | Intelligent textbook generation, MicroSims, and book-build workflow/metrics |
| LMS | LMS & Deployment Infrastructure | 7 | Learning management system integration and site publishing tooling |
| SKILL | Agent Skills for Learning Graph Generation | 12 | Using an agent skill (e.g. Claude Code) to automate the concept-list, dependency-CSV, taxonomy, and validation pipeline end to end |