mapping-concepts-and-competences

To map concepts and discover latent competences, organize knowledge items hierarchically and identify item-level relationships like prerequisite-of and part-of to construct a concept map and draft skill map.

CbKST, or Competence-based Knowledge Space Theory, identifies latent competences underlying item clusters and assigns required competences per item, using FCA-informed validation to explore competence relations within knowledge spaces.

Generate surmise seeds by cross-linking items across branches to reveal transfer potential, then producing draft prerequisite-of and part-of relations to bootstrap the knowledge-space pipeline for surmise relation building.

Yes, you can optionally apply Formal Concept Analysis (FCA) to validate the concept lattice when cross-linking items across domains to uncover hidden bridges and ensure competence mapping accuracy.

Yes, building a concept map requires a curated set of knowledge items with metadata and an initial graph to output the concept map, surmise seeds, and a draft skill map.

Concept mapping structures knowledge graphs using superordinate, coordinate, and subordinate hierarchies, plus relationships like prerequisite-of, is-a, part-of, co-requisite, and related-to to group items by topics and tags.