What is it about?
Using a computer program to spot when students may have cheated is increasingly important because class sizes are growing ever larger. We tested different ways of spotting potential cheating in SQL tests which hasn't really been looked at before. What we found is that, because the answers are relatively short, the existing techniques do not work very well.
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Why is it important?
We found that it is very difficult to automatically identify if students might be cheating on SQL tests or coursework. This means that alternative methods will have to be used to prevent cheating, such as more careful design of assessments.
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This page is a summary of: The False-Positive Rate of Automated Plagiarism Detection for SQL Assessments, January 2019, ACM (Association for Computing Machinery),
DOI: 10.1145/3351287.3351290.
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