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

Yingying Bao, Guanliang Chen, Claudia Hauff

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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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.
Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Educational Data Mining
EditorsX. Hu, T. Barnes, A. Hershkovitz, L. Paquette
PublisherInternational Educational Data Mining Society (IEDMS)
Number of pages4
Publication statusPublished - 2017
EventEDM 2017: 10th International Conference on Educational Data MIning - Wuhan, China
Duration: 25 Jun 201728 Jun 2017
Conference number: 10


ConferenceEDM 2017
Internet address


  • MOOCs
  • Academic Dishonesty
  • Multiple-Account Cheating
  • Educational Data Mining


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