No 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.

No 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.

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.