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Direct linkRanger, Jochen; Schmidt, Nico; Wolgast, Anett – Educational and Psychological Measurement, 2023
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 early stage of the assessment period. In this…
Descriptors: Identification, Cheating, Information Retrieval, Tests
