Abstract
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 language | English |
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Title of host publication | Proceedings of the 10th International Conference on Educational Data Mining |
Editors | X. Hu, T. Barnes, A. Hershkovitz, L. Paquette |
Publisher | International Educational Data Mining Society (IEDMS) |
Pages | 262-265 |
Number of pages | 4 |
Publication status | Published - 2017 |
Event | EDM 2017: 10th International Conference on Educational Data MIning - Wuhan, China Duration: 25 Jun 2017 → 28 Jun 2017 Conference number: 10 http://educationaldatamining.org/EDM2017/ |
Conference
Conference | EDM 2017 |
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Country/Territory | China |
City | Wuhan |
Period | 25/06/17 → 28/06/17 |
Internet address |
Keywords
- MOOCs
- Academic Dishonesty
- Multiple-Account Cheating
- Educational Data Mining