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Plagiarism Detection Tools in Learning Management Systems

Plagiarism Detection Tools in Learning Management Systems

Sergey Butakov, Vladislav Shcherbinin
Copyright: © 2010 |Pages: 18
ISBN13: 9781615208531|ISBN10: 1615208534|EISBN13: 9781615208548
DOI: 10.4018/978-1-61520-853-1.ch007
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MLA

Butakov, Sergey, and Vladislav Shcherbinin. "Plagiarism Detection Tools in Learning Management Systems." Learning Management System Technologies and Software Solutions for Online Teaching: Tools and Applications, edited by Yefim Kats, IGI Global, 2010, pp. 120-137. https://doi.org/10.4018/978-1-61520-853-1.ch007

APA

Butakov, S. & Shcherbinin, V. (2010). Plagiarism Detection Tools in Learning Management Systems. In Y. Kats (Ed.), Learning Management System Technologies and Software Solutions for Online Teaching: Tools and Applications (pp. 120-137). IGI Global. https://doi.org/10.4018/978-1-61520-853-1.ch007

Chicago

Butakov, Sergey, and Vladislav Shcherbinin. "Plagiarism Detection Tools in Learning Management Systems." In Learning Management System Technologies and Software Solutions for Online Teaching: Tools and Applications, edited by Yefim Kats, 120-137. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-61520-853-1.ch007

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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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