{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-data-mining-approach-for-detecting","title":"A Data Mining Approach for Detecting Collusion in Unproctored Online Exams","arxiv_id":"2302.07014","date":"2023-02-14","proceeding":null,"authors":["Janine Langerbein","Till Massing","Jens Klenke","Natalie Reckmann","Michael Striewe","Michael Goedicke","Christoph Hanck"],"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.","url_abs":"https://arxiv.org/abs/2302.07014v3","url_pdf":"https://arxiv.org/pdf/2302.07014v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-data-mining-approach-for-detecting","repo_url":"https://github.com/janine-langerbein/edm_detecting_collusion_unproctored_online_exams","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}