Establishing Cognitive Item Models for Fair and Theory-Grounded Automatic Item Generation: A Large-Scale Assessment Study with Image-Based Math Items

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dc.contributor.authorPhilipp Sonnleitner
dc.contributor.authorSteve Bernard
dc.contributor.authorMichael Andreas Michels
dc.contributor.authorPamela Inostroza-Fernandez
dc.contributor.authorUlrich Keller
dc.contributor.authorMark J. Gierl
dc.contributor.authorPedro Cardoso-Leite
dc.contributor.authorCaroline Hornung
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:29:37Z
dc.date.available2026-03-22T14:29:37Z
dc.date.issued2025
dc.descriptionCitaciones: 1
dc.description.abstractpeer reviewed
dc.identifier.doi10.1080/08957347.2025.2563889
dc.identifier.urihttps://doi.org/10.1080/08957347.2025.2563889
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/46834
dc.language.isoen
dc.publisherTaylor & Francis
dc.relation.ispartofApplied Measurement in Education
dc.sourceUniversity of Luxembourg
dc.subjectItem response theory
dc.subjectPsychology
dc.subjectCognition
dc.subjectItem analysis
dc.subjectDifferential item functioning
dc.subjectTest (biology)
dc.subjectCognitive psychology
dc.subjectComputer science
dc.subjectEquating
dc.subjectMathematics education
dc.titleEstablishing Cognitive Item Models for Fair and Theory-Grounded Automatic Item Generation: A Large-Scale Assessment Study with Image-Based Math Items
dc.typearticle

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