Knowledge Management in Academic Community

Karuna Puri, Preeti Mulay
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引用次数: 0

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.
学术界的知识管理
学生是一个国家经济扩张的根源,他们经常在大学编程实验室中选择不同形式的基于代码内容的抄袭,以避免耗时和具有挑战性的学术任务,或者由于分数和同龄人的压力。学生可能缺乏分析和逻辑程序开发技能。这就迫切需要像大学代码-内容抄袭预防模型(UCCPM)这样的智能和计算智能系统来控制和防止大学抄袭的发生。“UCCPM情报”与“MARG预防”的整合将被证明是一个有益的学术预测模型。这将为知识型学术研究和知识型学术管理开辟新的前景。国家财富的关键是知识,这反过来又可以追溯到学术研究和大学学生所获得的知识水平。因此,所进行的研究为大学巧妙地发现剽窃案件并采取适当措施防止它提供了方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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