creators_name: Ahmad Hashem, type: conference_item datestamp: 2009-06-10 04:38:17 lastmod: 2013-07-18 08:15:13 metadata_visibility: show corp_creators: Open University Malaysia (OUM) title: Plagiarism Detection Systems : An Evaluation Of Several Systems ispublished: pub subjects: LC5201 full_text_status: public pres_type: paper abstract: In the Open University environment where students are not centrally located and are not under any direct supervision the potential for plagiarism definitely exists. The very technology that facilitates open learning also allows easy exchange of papers among peers. Students can also easily access “paper-mills” where essays can be quickly customized to suit requirements, for a fee. There is also the vast information residing on the Internet ready for creative reuse. In the light of all these temptations the Open University of Malaysia (OUM) is exploring the use of technology to educate students and deter plagiarism. One approach that appears promising is to use a good commercial plagiarism detection system. The system, by being able to detect cases of plagiarism would serve as a deterrent and hopefully contribute towards inculcating the culture of honesty. This paper presents the findings from a small study using two detection systems, a commercial Plagiarism Detection System, MyDropBox and a simple and free automatic file comparison system, Pl@giarism. The results show that while the automatic system is very useful, the simple and free system can be adequate for most purposes. Recommendations on a suitable system for the OUM context are then made based on these findings. (Author's abstract) date: 2006-09-05 date_type: published event_title: The 6th SEAAIR Annual Conference 2006 event_location: Langkawi event_dates: 5-7 September 2006 event_type: conference refereed: TRUE citation: Ahmad Hashem, (2006) Plagiarism Detection Systems : An Evaluation Of Several Systems. In: The 6th SEAAIR Annual Conference 2006, 5-7 September 2006, Langkawi. document_url: https://library.oum.edu.my/repository/139/1/plagiarism_detaction_system.pdf