Modeling misconceptions in knowledge space theory

DOI10.1016/j.jmp.2020.102435zbMath1465.91089OpenAlexW3083585599MaRDI QIDQ826913

Matthias Gondan, Luca Stefanutti, Alice Maurer, Debora de Chiusole

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.2020.102435

zbMATH Keywords

intelligent tutoring systemscognitive rule systempolytomous skill map

Mathematics Subject Classification ID

Cognitive psychology (91E10) Memory and learning in psychology (91E40)

Related Items (1)

Towards a competence-based polytomous knowledge structure theory

Uses Software

• DAKS

Cites Work

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• Erratum to: ``On the link between cognitive diagnostic models and knowledge space theory
• On the link between cognitive diagnostic models and knowledge space theory
• Recovering a probabilistic knowledge structure by constraining its parameter space
• Inductive item tree analysis: corrections, improvements, and comparisons
• A Markovian procedure for assessing the state of a system
• On the assessment of learning in competence based knowledge space theory
• On the unidentifiability of a certain class of skill multi map based probabilistic knowledge structures
• Assessing parameter invariance in the BLIM: bipartition models
• Knowledge Spaces
• Learning Spaces
• 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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