Metrics based plagarism monitoring

Abstract

Plagiarism in programming courses is a pervasive and frustrating problem that undermines the educational process. Defining plagiarism is difficult because of the fuzzy boundary between allowable peer-peer collaboration and plagiarism. Pursuing suspected plagiarism has attendant emotional and legal risks to the student and teacher, with the teacher bearing the burden of proof. In this paper we present a metrics-based system for monitoring similarities between programs and for gathering the “preponderance” of evidence needed to pursue suspected plagiarism. Anonymous results from monitoring are posted to create a climate in which the issue of plagiarism is discussed openly.

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