Embedding Plagiarism Detection Mechanisms Into Learning Management Systems

Author:

Butakov Sergey1,Shcherbinin Vladislav2,Diagilev Vadim3,Tskhay Alexander4

Affiliation:

1. Concordia University College of Alberta, Canada

2. Crot Software, Canada

3. Altai State Technical University, Russia

4. Altai Academy of Economics and Law, Russia

Abstract

The main objectives of this chapter are to review available plagiarism detection tools, discuss the most popular software tools on the market and describe the new architecture for plagiarism detection tools. The proposed architecture emphasizes lightweight integration with LMS as well as the possibility for the LMS owner to adjust the amount of information that is being transferred to plagiarism detection service based on the intellectual property protection rules adopted by the school. This chapter shows how the proposed architecture was implemented as a plug-in for the Moodle LMS. A set of user trials is provided to show practical applicability of the proposed solutions.

Publisher

IGI Global

Reference35 articles.

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2. Antiplagiat (2012). About the Project (in Russian). Retrieved on April 10, 2012 from http://www.antiplagiat.ru/index.aspx?doc=plagiarism

3. Internet Plagiarism: Developing Strategies to Curb Student Academic Dishonesty

4. Bailey, J. (2006). Web design plagiarism. Plagiarism Today. Retrieved June 12, 2009 from http://http://www.plagiarismtoday.com/2006/08/02/web-design-plagiarism/

5. Turning to Turnitin to fight plagiarism among university students.;T.Batane;Journal of Educational Technology & Society,2010

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1. University learning with anti-plagiarism systems;Accountability in Research;2020-09-23

2. Content-Based Scientific Figure Plagiarism Detection Using Semantic Mapping;Advances in Intelligent Systems and Computing;2019-11-02

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