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Modeli kognitivne dijagnostike (DINA / G-DINA)×Formalna analiza pojmova (FCA)×
PodručjePsihometrijaMeko računarstvo
ObiteljLatent structureMachine learning
Godina nastanka20111982
TvoracJimmy de la TorreRudolf Wille & Bernhard Ganter
VrstaLatent variable diagnostic classification modelLattice-based knowledge representation / concept mining
Temeljni izvorde la Torre, J. (2011). The generalized DINA model framework. Psychometrika, 76(2), 179–199. DOI ↗Wille, R. (1982). Restructuring lattice theory: an approach based on hierarchies of concepts. In I. Rival (Ed.), Ordered Sets (pp. 445–470). Reidel. DOI ↗
Drugi naziviDiagnostic Classification Model, Skills Assessment Model, Attribute Mastery Model, Bilişsel Tanı ModeliFCA, concept lattice analysis, Galois lattice, biçimsel kavram analizi
Srodne23
SažetakCognitive Diagnosis Models (CDMs) are a family of latent variable models designed to classify examinees according to their mastery of a set of discrete cognitive attributes or skills. The Generalized DINA (G-DINA) framework, introduced by Jimmy de la Torre in 2011, provides a unifying structure that encompasses many specific CDMs — including the DINA, DINO, ACDM, and LLM models — as special cases, enabling fine-grained diagnostic feedback beyond a single total score.Formal concept analysis derives a hierarchy of concepts from a simple table of which objects have which attributes. Founded by Rudolf Wille in 1982 on lattice theory, it pairs each set of objects with the attributes they all share to form 'formal concepts', then organizes these into a concept lattice — a mathematically grounded, interpretable hierarchy used for knowledge discovery, ontology building, and explainable analysis of categorical data.
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ScholarGateUsporedite metode: Cognitive Diagnosis Model · Formal Concept Analysis. Preuzeto 2026-06-19 s https://scholargate.app/hr/compare