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Knowledge Management in Academic Community: Code and Content-Based Plagiarism Prevention MARG
Abstract
Students are roots of a country's economic-expansion, often opt for different forms of Code-Content based Plagiarism in University Programming-Labs to avoid time-consuming and challenging academic tasks or due to grades, and peers pressure. Students may lack analytical and logical program development skills. This urges for need of Smart and Computationally-Intelligent system like University Code-Content Plagiarism Prevention Model (UCCPM) to keep a check and prevent incidences of plagiarism in Universities. Integration of ‘UCCPM Intelligence' with ‘MARG's Prevention' would prove to be a beneficial Academic Predictive Model. It would open new vistas of knowledge oriented academic-research and knowledge management in academic and research community. Key to nation's wealth is knowledge, which in turn, traces back to academic research and the level of knowledge attained among students' in Universities. Hence the undertaken research provides directions to Universities to smartly detect cases of plagiarism and take appropriate measures to prevent it.
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