Detecting Cheating in Large-Scale Assessment: The Transfer of Detectors to New Tests.

Recent approaches to the detection of cheaters in tests employ detectors from the field of machine learning. Detectors based on supervised learning algorithms achieve high accuracy but require labeled data sets with identified cheaters for training. Labeled data sets are usually not available at an...

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Detalles Bibliográficos

Publicado en:	Educational & Psychological Measurement Vol. 83; no. 5; pp. 1033 - 1059
Autores principales:	Ranger, Jochen, Schmidt, Nico, Wolgast, Anett
Formato:	Artículo
Publicado:	Sage Publications Inc. Oct2023
Materias:	Student cheating Machine learning Descriptive statistics Computer terminals Data mining Algorithms
Acceso en línea:	Ver este registro en EBSCOhost