Browsing by Author "Shakr, Arkan K. H."
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Master Thesis Plagiarism detection in learning management system(2013) Shakr, Arkan K. H.Learning Management Systems has became one of the teaching tool same as the pen, pencil, blackboard, book, and notebook. Learning Management System (LMS) is defined and types that are derived from this system such as those focused only on the curriculum and those focuses on the management of the education system, and combination of both are explained. The properties and features that must exist are identified and showed, so that it can be called a learning management system. The name and the experiences of countries in terms of the use of this system as well as the benefits resulting from the user experiences has motivated schools and educational institutions to start the establishment of such systems. In this study Moodle system was selected since it is free and open source. This gives an opportunity for schools to work without restrictions or wage. The development and widespread of such systems, programs, and the Internet that use by students in all education levels has became the main reason that students depend on Internet to get solutions to their homeworks and share it between them, so it leads to negative use of learning management systems. Besides benefits and functionalities of these system the major problem regarding to LMS is plagiarism in student homework and school duties in their academic stages. Since the plagiarism detection and controlling process by human is slow process, need for an electronic plagiarism detection system that has been integrated into LMS must be built in order to grade and evaluate electronic student submissions faster and more accurately. Although there are systems and algorithms to the detect plagiarism, these systems are not open source and they are not integrated in to LMS. In this study plagiarism detection was developed and integrated into Moodle system. Finally test case is prepared and applied to the developed system in order to observe effectiveness of proposed plagiarism detection approach. The results and error-free application shows that the work of proposed plagiarism system is compatible with Moodle system. In this study our main goal is to demonstrate the applicability of plagiarism detection system in Moodle environment. Therefore performance of plagiarism detection algorithm in terms of accuracy and error write are out of scope of this study and left as future work