On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning

On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning: A replicant study

Bao, Yingying (External organisation)
Chen, G. (TU Delft Web Information Systems)
Hauff, C. (TU Delft Web Information Systems)

Hu, X. (editor)
Barnes, T. (editor)
Hershkovitz, A. (editor)
Paquette, L. (editor)

2017

Massive Open Online Courses (MOOCs) are a promising form of online education. However, the occurrence of academic dishonesty has been threatening MOOC certificates’ effectiveness as a serious tool for recruiters and employers. Recently, a large-scale study on the log traces from more than one hundred MOOCs created by Harvard and MIT has identified a specific cheating strategy viable in MOOCs: Copying Answers using Multiple Existences Online (CAMEO). In essence, learners create several accounts on a MOOC platform, request assessment solutions via some of the accounts, and then submit these “harvested” solutions in their main account to receive credit. In our work, we replicate the CAMEO implementation and apply it to ten edX MOOCs created by the Delft University of Technology. Our results show that in those MOOCs, 1.9% of certificates were likely earned through CAMEO cheating, a number comparable to the fraction of cheating observed in Harvard and MIT MOOCs.

MOOCs
Academic Dishonesty
Multiple-Account Cheating
Educational Data Mining

http://resolver.tudelft.nl/uuid:134264c5-4813-4e17-940d-6c85bd8d50ac

International Educational Data Mining Society (IEDMS)

Proceedings of the 10th International Conference on Educational Data Mining

EDM 2017, 2017-06-25 → 2017-06-28, Wuhan, China

Institutional Repository

conference paper

© 2017 Yingying Bao, G. Chen, C. Hauff