Plagiarism detection in final year undergraduate projects

Abstract

The growing problem of plagiarism in education is especially acute in project work where individual contributions in specialised domains can be hard to detect. In common with many others in education we have found growing evidence of plagiarism in final year undergraduate projects. These are an important part of our undergraduate programmes here at London South Bank University, contributing about 20% of the degree award. Existing approaches for detecting non-original content are flawed, and this paper describes work on an alternative approach that integrates with our web based project system that combines administration, monitoring and promotion of good practice and fair assessment. This paper describes the problems associated with existing approaches, the use of natural language processing techniques to assist in plagiarism detection and prevention and reports on some initial results.

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