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Download full textYumou Wei; Paulo Carvalho; John Stamper – International Educational Data Mining Society, 2025
Educators evaluate student knowledge using knowledge component (KC) models that map assessment questions to KCs. Still, designing KC models for large question banks remains an insurmountable challenge for instructors who need to analyze each question by hand. The growing use of Generative AI in education is expected only to aggravate this chronic…
Descriptors: Artificial Intelligence, Cluster Grouping, Student Evaluation, Test Items
Peer reviewedShields, W. S. – Educational and Psychological Measurement, 1974
A procedure for item analysis using distance clustering is described. Items are grouped according to the predominant factors measured, regardless of what they are. The procedure provides an efficient method of treating unanswered items. (Author/RC)
Descriptors: Algorithms, Cluster Grouping, Item Analysis, Models
