Detecting ghostwriters in high schools

Magnus Stavngaard, August Sørensen, Stephan Lorenzen*, Niklas Hjuler, Stephen Alstrup

*Corresponding author af dette arbejde

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

1 Citationer (Scopus)
16 Downloads (Pure)

Abstract

Students hiring ghostwriters to write their assignments is an increasing problem in educational institutions all over the world, with companies selling these services as a product. In this work, we develop automatic techniques with special focus on detecting such ghostwriting in high school assignments. This is done by training deep neural networks on an unprecedented large amount of data supplied by the Danish company MaCom, which covers 90% of Danish high schools. We achieve an accuracy of 0.875 and a AUC score of 0.947 on an evenly split data set.

OriginalsprogEngelsk
TitelESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Antal sider6
ForlagESANN (i6doc.com)
Publikationsdato2019
Sider197-202
ISBN (Elektronisk)9782875870650
StatusUdgivet - 2019
Begivenhed27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2019 - Bruges, Belgien
Varighed: 24 apr. 201926 apr. 2019

Konference

Konference27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2019
Land/OmrådeBelgien
ByBruges
Periode24/04/201926/04/2019
NavnESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Citationsformater