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

A replicant study

Conference paper (2017)

Authors

Yingying Bao External organisation
G. Chen Web Information Systems - EEMCS
C. Hauff Web Information Systems - EEMCS
Research Group
Web Information Systems (EEMCS) (TU Delft)
Copyright: © 2017 Yingying Bao, G. Chen, C. Hauff
MOOCs Academic Dishonesty Multiple-Account Cheating Educational Data Mining
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Published Date

2017

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Web Information Systems

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.

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