JADE based Virtual Checker to Avoid Plagiarism in MOOC's

The MOOC’s (Massive open online classes) have ushered in a new era of learning overcoming the boundaries of time and geography to provide high quality education to masses who cannot afford university education. The major drawback however is that although they have best tried to capture classroom environment but facets such as teacher-student interaction and the usefulness of assignments as a source for enhanced understanding of subject matter have not been captured. Also it has led to plagiarism, which not only is a serious hazard but is also staining the otherwise excellent image the MOOC’s could have had. In this paper we propose a JADE based multi-agent system(MAS) as an effective step to solve the problem of plagiarism. The system has considered 2 types of plagiarism namely local and internet-based plagiarism. This will be used to filter out the students caught in plagiarism and students who come out clean will then have their solutions checked by using LEXICAL ANALYSIS to determine the styling and subjected to tests as well as codechecker to check for logical and syntactical correctness. General Terms Pattern matching, Lexical analysis, local, internet-based, plagiarism, JADE, agents