IEEE - Institute of Electrical and Electronics Engineers, Inc. - Using Machine Learning to Detect ‘Multiple-Account’ Cheating and Analyze the Influence of Student and Problem Features

Author(s): Jose A. Ruiperez-Valiente ; Pedro J. Munoz-Merino ; Giora Alexandron ; David E. Pritchard
Sponsor(s): IEEE Computer Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 January 2019
Volume: 12
Page(s): 112 - 122
ISSN (CD): 2372-0050
ISSN (Electronic): 1939-1382
DOI: 10.1109/TLT.2017.2784420
Regular:

One of the reported methods of cheating in online environments in the literature is CAMEO (Copying Answers using Multiple Existences Online), where harvesting accounts are used to obtain correct... View More

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