Plagiarism Detection Tools in Learning Management Systems

Plagiarism Detection Tools in Learning Management Systems

Sergey Butakov (Solbridge International School of Business, South Korea) and Vladislav Shcherbinin (American University of Nigeria, Nigeria)
DOI: 10.4018/978-1-4666-0011-9.ch511
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Abstract

The main objectives of this chapter are to review the state-of-the art in plagiarism detection methods, discuss the most popular software tools available on the market and describe the new open architecture for plagiarism detection tools. The proposed architecture emphasizes the extensibility feature that allows it to be easily adapted for handling new types of assignments in the future. This chapter shows how the proposed architecture was implemented in a desktop application and a server-side plug-in for the Moodle course management system. An extended set of user trials is provided to support the proposed solutions. This set includes extensive tests for intra-corpal and internet plagiarism searches, tests with non-English assignments and promising results on cross language plagiarism detection.
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Background

This section briefs the reader on methods for plagiarism detection and the available software solutions. We start with detection methods because advances in algorithms and information technologies in general are exactly the main driving force for software development. Since most commercial software tool vendors do not reveal the algorithms they use, we hope that a general description of methods and available tools will give the reader an understanding of state-of-the art technology in this field.

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