On the necessary and sufficient conditions for delineating forward- and backward-graded knowledge structures from skill maps

DOI10.1016/j.jmp.2020.102451zbMath1455.91200OpenAlexW3087896488MaRDI QIDQ826943

Luca Stefanutti, Andrea Spoto

Publication date: 6 January 2021

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmp.2020.102451

zbMATH Keywords

identifiabilityknowledge space theorybasic local independence modelforward and backward gradednessskill maps

Mathematics Subject Classification ID

Memory and learning in psychology (91E40)

Related Items (4)

Complete Q‐matrices in conjunctive models on general attribute structures ⋮ Empirical indistinguishability: From the knowledge structure to the skills ⋮ Well-graded polytomous knowledge structures ⋮ On delineating forward- and backward-graded knowledge structures from fuzzy skill maps

Cites Work

• On the link between cognitive diagnostic models and knowledge space theory
• A Markovian procedure for assessing the state of a system
• Detecting and explaining BLIM's unidentifiability: forward and backward parameter transformation groups
• A necessary and sufficient condition for unique skill assessment
• BLIM's identifiability and parameter invariance under backward and forward transformations
• Identifiability in probabilistic knowledge structures
• Considerations about the identification of forward- and backward-graded knowledge structures
• On the unidentifiability of a certain class of skill multi map based probabilistic knowledge structures
• Spaces for the assessment of knowledge
• Knowledge Spaces
• Skills and knowledge structures†
• A class of stochastic procedures for the assessment of knowledge

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