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Learning Graphs — Concept List

Working concept list for the learning-graph-generator v0.05 pipeline, generated from the approved course description. The list contains 400 distinct, concise concepts spanning graph foundations, metadata, dependency modeling, taxonomy design, validation, learning science, visualization, personalization, intelligent agents, publishing, and pipeline automation.


  1. Concept
  2. Concept Graph
  3. Content Graph
  4. Knowledge Graph
  5. Dependency Graph
  6. Learning Graph
  7. Directed Graph
  8. Directed Acyclic Graph (DAG)
  9. Node
  10. Edge
  11. Hierarchy
  12. Graph Representation
  13. Cluster (Graph)
  14. Journey Map
  15. Hybrid Graph
  16. Concept Label
  17. Preferred Label
  18. Alternate Label
  19. SKOS
  20. ISO/IEC 11179
  21. Dublin Core Metadata
  22. Controlled Vocabulary
  23. Concept Definition
  24. Textbook Index
  25. Named Concept
  26. Concept Dependency
  27. Prerequisite Relationship
  28. Prerequisite Chain
  29. Prerequisite Concept
  30. Foundational Concept
  31. Goal Concept
  32. Immediate Goal
  33. Intermediate Goal
  34. Ultimate Goal
  35. Learning Goal
  36. Ready-to-Learn Concept
  37. Learned Concept
  38. Skill Gap
  39. Transitive Dependency
  40. Hop Count
  41. Dependency Analysis
  42. Concept Taxonomy
  43. Ontology
  44. TaxonomyID
  45. Taxonomy Classifier
  46. Taxonomy Category
  47. Taxonomy Distribution Report
  48. Taxonomy Legend
  49. Node Group
  50. Concept-to-Taxonomy Mapping
  51. Balanced Taxonomy
  52. Miscellaneous Category
  53. Abstraction (Graph)
  54. Clustering (Graph)
  55. Learning Graph Validation
  56. Graph Quality Metric
  57. Orphaned Node
  58. Disconnected Subgraph
  59. Cycle Detection
  60. Self-Dependency Prevention
  61. Indegree
  62. Out-Degree
  63. Node Degree
  64. Full Coverage Check
  65. Structural Check
  66. Graph Connectivity
  67. Quality Metrics Report
  68. Third-Party Certification
  69. Bloom's Taxonomy
  70. Cognitive Domain
  71. Affective Domain
  72. Psychomotor Domain
  73. Remembering
  74. Understanding
  75. Applying
  76. Analyzing
  77. Evaluating
  78. Creating
  79. Learning Objective
  80. Instructional Design
  81. Scaffolding
  82. Constructivism
  83. Zone of Proximal Development
  84. Rhizombic Learning
  85. Non-Linear Learning Path
  86. Self-Directed Exploration
  87. Emergent Knowledge Structure
  88. Mastery Learning
  89. Curriculum Design
  90. Learning Path
  91. Personalized Learning Path
  92. Adaptive Learning
  93. Adaptive Learning Path
  94. Adaptive Algorithm
  95. Hyper-Personalization
  96. Hyper-Customized Lesson Plan
  97. Custom Learning Plan
  98. Content Recommendation Engine
  99. Recommendation Engine
  100. Concept Similarity
  101. Student Similarity
  102. Content Similarity
  103. Similarity Metric
  104. Generative AI
  105. Intelligent Agent
  106. Agent Autonomy
  107. Multi-Agent Collaboration
  108. Tool Use (Agent)
  109. Iterative Workflow
  110. LLM-Generated Dependency Graph
  111. Prompt Engineering
  112. Chatbot
  113. Retrieval-Augmented Generation
  114. GraphRAG
  115. Learning Agent
  116. Assessment
  117. Formative Feedback
  118. Personalized Feedback Loop
  119. Feedback Loop
  120. Feedback Log
  121. Feedback Analysis
  122. Course Evaluation
  123. Learning Touchpoint
  124. Frequently Asked Question
  125. Quiz
  126. Multiple-Choice Question
  127. Quiz Distractor
  128. True/False Question
  129. Vis.js
  130. Vis-Network Library
  131. DataSet
  132. Network Container
  133. Network Initialization
  134. JSON Data Format
  135. Force-Directed Graph
  136. Force-Directed Graph Layout
  137. Legend Display
  138. Node Shape
  139. Node Background Color
  140. Node Size
  141. Node Font Color
  142. Node Border Width
  143. Node Border Color
  144. Node Opacity
  145. Node Icon
  146. Node Image
  147. Node Shadow
  148. Custom Canvas Shape
  149. Edge Label
  150. Edge Color
  151. Edge Width
  152. Edge Dashes
  153. Edge Smoothing
  154. Cubic Bezier Curve
  155. Edge Arrows
  156. Edge Font
  157. Physics Simulation
  158. Barnes-Hut Solver
  159. ForceAtlas2 Layout
  160. Repulsion Solver
  161. Central Gravity
  162. Damping
  163. Hierarchical Layout
  164. Layout Direction
  165. Fixed Node Position
  166. Node Pinning
  167. Spring Length Parameter
  168. Stabilization
  169. Graph Layout Algorithm
  170. Node Tooltip
  171. Edge Tooltip
  172. Hover State
  173. Double-Click Event
  174. Node Inspector
  175. Click Event Handling
  176. Node URL Property
  177. Clickable Node
  178. Search Feature (Graph)
  179. Type-Ahead Filtering
  180. Focus Node Navigation
  181. Graph Cluster
  182. Composite Node
  183. Cluster Expand/Collapse
  184. Group Visibility Checkbox
  185. Group Styling
  186. Domain Attribute (Clustering)
  187. Graph Editor
  188. Node Property Editor
  189. Edge Property Editor
  190. JSON Graph Import
  191. JSON Graph Export
  192. Node Enricher Script
  193. Data Validation on Import
  194. Orphaned Node Detection
  195. JSON
  196. JSON Schema
  197. CSV
  198. YAML
  199. Markdown
  200. CSV to JSON Conversion
  201. groups.json
  202. Intelligent Textbook
  203. MicroSim
  204. p5.js
  205. JavaScript
  206. Interactive Visualization
  207. Interactive Simulation
  208. Book Build Workflow
  209. Book Metrics
  210. Chapter Metrics
  211. Content Generation Pipeline
  212. Quality Gate
  213. Concept-to-Content Viewer
  214. Learning Path Recommendation
  215. Learning Management System (LMS)
  216. LMS Integration
  217. MkDocs
  218. GitHub Pages
  219. Git
  220. Case Study
  221. Real-World Application
  222. Cognitivism
  223. Behaviorism
  224. Connectivism
  225. Andragogy
  226. Cognitive Load Theory
  227. Working Memory Constraint
  228. Schema Theory
  229. Prior Knowledge Activation
  230. Chunking (Cognitive Load)
  231. Knowledge Space Theory
  232. Learning Progression
  233. Spiral Curriculum
  234. Backward Design
  235. Constructive Alignment
  236. Topological Sort
  237. Partial Order
  238. Prerequisite-Based Sequencing
  239. Content Sequencing Algorithm
  240. Competency-Based Education
  241. Differentiated Instruction
  242. Universal Design for Learning
  243. Learning Trajectory
  244. Spaced Repetition
  245. Retrieval Practice
  246. Interleaved Practice
  247. Desirable Difficulty
  248. Metacognition
  249. Self-Regulated Learning
  250. Growth Mindset
  251. Vygotsky's Social Theory
  252. Nine Events of Instruction
  253. Just-in-Time Learning
  254. Curriculum Alignment
  255. Agent Skill
  256. Claude Code
  257. Skill Invocation
  258. Course Description Scoring
  259. Concept List Generation
  260. Concept List Review
  261. Dependency CSV Generation
  262. Automated Quality Validation
  263. Taxonomy Generation Step
  264. Pipeline Session Log
  265. Iterative Graph Regeneration
  266. Human-in-the-Loop Review
  267. Directed Edge
  268. Incoming Edge
  269. Outgoing Edge
  270. Graph Path
  271. Path Length
  272. Reachability
  273. Ancestor Concept
  274. Descendant Concept
  275. Source Node
  276. Sink Node
  277. Terminal Concept
  278. Root Concept
  279. Weak Connectivity
  280. Strong Connectivity
  281. Connected Component
  282. Adjacency List
  283. Adjacency Matrix
  284. Graph Traversal
  285. Depth-First Search
  286. Breadth-First Search
  287. Graph Density
  288. Transitive Closure
  289. Transitive Reduction
  290. Redundant Dependency
  291. Bottleneck Concept
  292. Critical Path
  293. Maximum Path Length
  294. Dependency Depth
  295. Concept Centrality
  296. Betweenness Centrality
  297. Degree Distribution
  298. Graph Diameter
  299. Graph Schema
  300. Edge Direction
  301. Unique Concept Identifier
  302. Concept Granularity
  303. Atomic Concept
  304. Composite Concept
  305. Label Ambiguity
  306. Label Normalization
  307. Synonym Management
  308. Homonym Disambiguation
  309. Naming Convention
  310. Metadata Field
  311. Dublin Core Title
  312. Dublin Core Description
  313. SKOS Preferred Label
  314. SKOS Alternate Label
  315. SKOS Broader Relation
  316. SKOS Narrower Relation
  317. SKOS Related Relation
  318. Semantic Relationship
  319. Machine-Readable Metadata
  320. Concept Provenance
  321. Metadata Validation
  322. Vocabulary Governance
  323. Dependency Assertion
  324. Direct Dependency
  325. Indirect Dependency
  326. Necessary Prerequisite
  327. Recommended Prerequisite
  328. Dependency Rationale
  329. Dependency Confidence
  330. Edge Provenance
  331. Dependency Review
  332. Dependency Gap
  333. Overconstraint
  334. Underconstraint
  335. False Prerequisite
  336. Learning Sequence
  337. Parallel Learning Paths
  338. Alternative Prerequisite
  339. Co-Prerequisite
  340. Prerequisite Frontier
  341. Mastery Prerequisite
  342. Dependency Inference
  343. Human Dependency Review
  344. Classification Scheme
  345. Polyhierarchy
  346. Exclusive Category
  347. Category Boundary
  348. Category Balance
  349. Category Coverage
  350. Category Overlap
  351. Category Assignment
  352. Taxonomy Depth
  353. Taxonomy Breadth
  354. Taxonomy Drift
  355. Ontology Class
  356. Ontology Property
  357. Semantic Type
  358. Hierarchical Relation
  359. Associative Relation
  360. Taxonomy Validation
  361. Schema Validation
  362. Referential Integrity
  363. Duplicate Concept Detection
  364. Missing Dependency
  365. Invalid Dependency ID
  366. Graph Completeness
  367. Pedagogical Coherence
  368. Dependency Plausibility
  369. Graph Quality Score
  370. Validation Threshold
  371. Automated Validator
  372. Validation Warning
  373. Validation Error
  374. Data Pipeline
  375. CSV Header
  376. Pipe-Delimited Field
  377. Node Record
  378. Edge Record
  379. Group Record
  380. Metadata Record
  381. Schema Conformance
  382. Version Metadata
  383. License Metadata
  384. Taxonomy Name Mapping
  385. Color Configuration
  386. JSON Serialization
  387. Data Transformation
  388. Reproducible Generation
  389. Learner Model
  390. Mastery State
  391. Mastery Threshold
  392. Knowledge State
  393. Knowledge Component
  394. Learning Evidence
  395. Diagnostic Assessment
  396. Summative Assessment
  397. Competency Model
  398. Learning Path Constraint
  399. Readiness Estimation
  400. Personalized Sequencing