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Knowledge Space Theory/Evidence
Method evidence record

Knowledge Space Theory

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.

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Knowledge Space Theory
Taxonomic method record · ml-model / education-analytics
  • Doignon, J.-P., & Falmagne, J.-C. (1985). Spaces for the assessment of knowledge. International Journal of Man-Machine Studies, 23(2), 175–196. · DOI 10.1016/S0020-7373(85)80031-6
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

See alsoCognitive Diagnosis Modelmachine-suggested · Relational suggestion, not evidence.Same method familyFormal Concept Analysismachine-suggested · Relational suggestion, not evidence.Same method familyKnowledge Tracingmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

1 recorded citation, copied from the method source record.

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