I always tell the story of the student I thought was (grossly and blatantly) cheating. There was always a high degree of similarity in the first assignment, so no harm in demonstrating it live (with the submission names anonymized). It has some fun live graphics, so it was useful to show to an Undergrad class after they submitted their first assignment.
I found it more useful in determining group dynamics in the classroom (who is working/studying with whom). There is always some similarity between the assignments, but uses a unique technique to identify the point things "start to look suspicious". Interestingly, I think it may satisfy your "low false positive" criteria in a unique way. The implementation is pure client-side browser.
The problem I was faced with was it being illegal to submit student code across international boundaries (MOSS was forbidden) so needed something that would run locally. I'd be curious to see how the Javascript interpreter handles C. I was teaching in javascript and python, so those are the languages it handles. I was faced a similar problem and wrote a web based application. We will help you scan the entire web to make sure every word of your copy is 100% original.ĭo not rely on your instincts – our unique anti-plagiarism tool will do the job for you.(response is late, but the question's relevance never goes away) You do not want your paper rejected by your school and you certainly do not want search enginesĬhecking for plagiarism online is quick and easy with.
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