Learning Graph — Dakhotiyapi¶
This section contains the learning graph for Dakhotiyapi — Beginning Dakota Language. A learning graph is a map of concepts used in this course. Each concept is represented by a node in a network graph. Concepts are connected by directed edges indicating what must be understood before each concept can be learned.
At the left of the learning graph are foundational prerequisite concepts with no dependencies. At the far right are the most advanced concepts — to master them, students must understand everything they point to.
This course has 200 concepts across 10 taxonomy categories and 333 dependency edges.
Course Description¶
The Course Description is the source document for all concepts in this course. It uses Bloom's Taxonomy to order learning objectives across six levels (Remember → Create).
List of Concepts¶
Concept List — 200 concepts in Title Case, organized by chapter.
Concept Dependency Graph¶
The learning graph is available in two formats:
- CSV file — ConceptID, ConceptLabel, Dependencies, TaxonomyID
- JSON file — vis-network format with nodes, edges, groups, and metadata
Analysis & Documentation¶
Course Description Quality Assessment¶
- Quality score: 88 / 100 (updated 2026-07-10)
- Learning outcomes added across all six Bloom's levels
- Topics Excluded section added
Learning Graph Quality Validation¶
- 200 concepts, 333 edges, DAG valid — no cycles
- 1 foundational concept (Dakota Language Overview)
- 83 terminal (leaf) nodes
- Average dependencies per concept: 1.67
- Most-depended-upon: Dakota Language Overview (38 inbound), Action Verbs Dakota (13), Numbers 1–10 (12)
Concept Taxonomy¶
10 categories covering foundations, grammar, vocabulary, numbers, culture, history, revitalization, and proficiency.
Taxonomy Distribution Report¶
Statistical breakdown of concept distribution across all 10 categories.