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| 知识空间理论× | 认知诊断模型（DINA / G-DINA）× | |
|---|---|---|
| 领域≠ | 教育分析 | 心理测量学 |
| 方法族≠ | Machine learning | Latent structure |
| 起源年份≠ | 1985 | 2011 |
| 提出者≠ | Jean-Paul Doignon & Jean-Claude Falmagne | Jimmy de la Torre |
| 类型≠ | Combinatorial knowledge assessment framework | Latent variable diagnostic classification model |
| 开创性文献≠ | Doignon, J.-P., & Falmagne, J.-C. (1985). Spaces for the assessment of knowledge. International Journal of Man-Machine Studies, 23(2), 175–196. DOI ↗ | de la Torre, J. (2011). The generalized DINA model framework. Psychometrika, 76(2), 179–199. DOI ↗ |
| 别名 | KST, Knowledge Structures, Competence-Based Knowledge Space Theory, Bilgi Uzayı Teorisi | Diagnostic Classification Model, Skills Assessment Model, Attribute Mastery Model, Bilişsel Tanı Modeli |
| 相关≠ | 3 | 2 |
| 摘要≠ | Knowledge Space Theory (KST) is a combinatorial, set-theoretic framework for modeling and assessing human knowledge, introduced by Jean-Paul Doignon and Jean-Claude Falmagne in 1985. It represents a learner's competence as a subset of a problem domain, organizes all feasible competence subsets into a lattice called a knowledge space, and uses probabilistic inference to locate a learner within that space. The approach underlies adaptive testing and intelligent tutoring systems, offering a mathematically rigorous alternative to classical test theory. | Cognitive 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. |
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