A Data Mining Approach for Detecting Collusion in Unproctored Online Exams
2023-02-14Code Available0· sign in to hype
Janine Langerbein, Till Massing, Jens Klenke, Natalie Reckmann, Michael Striewe, Michael Goedicke, Christoph Hanck
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- github.com/janine-langerbein/edm_detecting_collusion_unproctored_online_examsOfficialIn papernone★ 1
Abstract
Due to the precautionary measures during the COVID-19 pandemic many universities offered unproctored take-home exams. We propose methods to detect potential collusion between students and apply our approach on event log data from take-home exams during the pandemic. We find groups of students with suspiciously similar exams. In addition, we compare our findings to a proctored control group. By this, we establish a rule of thumb for evaluating which cases are "outstandingly similar", i.e., suspicious cases.