Semantic Watermarks for Detecting Cheating in Online Database Exams
| dc.contributor.author | Brass, Stefan | |
| dc.contributor.author | Hinneburg, Alexander | |
| dc.contributor.editor | König-Ries, Birgitta | |
| dc.contributor.editor | Scherzinger, Stefanie | |
| dc.contributor.editor | Lehner, Wolfgang | |
| dc.contributor.editor | Vossen, Gottfried | |
| dc.date.accessioned | 2023-02-23T13:59:54Z | |
| dc.date.available | 2023-02-23T13:59:54Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Due to the COVID-19 pandemic,we were forced to conduct the exam for a database course as an online exam.An essential part of the exam was to write non-trivial SQL queries for given tasks.In order to ensure that cheating has a certain risk,we used several techniques to detect cases of plagiarism.One technique was to use a kind of ``watermarks'' invariants of the exercises that are randomly assigned to the students.Each variant is marked by small variationsthat need to be included in submitted solutions.Those markers might go through undetectedwhen a student decides to copy a solution from someone else.In this case,the student would reveal to know a ``secret''that he cannot know without the forbidden communication with another student.This can be used as a proof for plagiarisminstead of just a subjective feeling about the likelihoodof similar solutions without communication.We also used a log of SQL queries that were tried during the exam.Finally,we evaluated similarity-based techniques for SQL plagiarism detection. | en |
| dc.identifier.doi | 10.18420/BTW2023-30 | |
| dc.identifier.isbn | 978-3-88579-725-8 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/40336 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | BTW 2023 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-331 | |
| dc.subject | SQL | |
| dc.subject | Plagiarism | |
| dc.subject | Online Exams | |
| dc.subject | Cheating | |
| dc.subject | Academic Integrity | |
| dc.title | Semantic Watermarks for Detecting Cheating in Online Database Exams | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 619 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 607 | |
| gi.conference.date | 06.-10. März 2023 | |
| gi.conference.location | Dresden, Germany |
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