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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Bibliographic Details

Published in:	Educational & Psychological Measurement Vol. 83; no. 5; pp. 1033 - 1059
Main Authors:	Ranger, Jochen, Schmidt, Nico, Wolgast, Anett
Format:	Article
Published:	Sage Publications Inc. Oct2023
Subjects:	Student cheating Machine learning Descriptive statistics Computer terminals Data mining Algorithms
Online Access:	View this record in EBSCOhost