Indian Journal of Science and Technology

Abstract

Background/Objectives: Rising Plagiarism incidences among students has become a common source of stress for academic community. This research is undertaken to reduce plagiarism in programming labs of universities across globe, faculty evaluation system development, and to remove social media use in labs. Methods/Statistical Analysis: Students of 21st century copy and exchange software codes available online with each other and at times even pay third-parties for timely submission of lab-assignments. They feel exchanging assignments with others maintain their social rapport/image among their friends. Our research initiated with Hawk-Eye that’s a mobile based plagiarism detection system easy to handle and maintain. By further research we had observed that Hawk-Eye combination with Cohort-Intelligence (CI) would lead to design of more reliable plagiarism evaluation system. As Hawk’s penetrating eyesight help in successful plagiarism detection and CI self-supervising nature helps to prevent students plagiarized behavior. Findings: The key motivation behind writing this paper is to highlight the fact that plagiarism in today’s cyber age is contributing as a global business option in academic areas. So the design of evaluation systems in Universities should be flexible enough to lessen the overall incidence of plagiarism and motivating its students for not breaking University rules and regulations. Applications/Improvements: Hawk Eye along with CI would prove to be an efficient system to design an incrementally learning evaluation system as a measure in Universities to stop plagiarism that would continue to evolve every year with new semester. 

Keywords: CI, OCR, Optimization, Plagiarism, Tokenizing