A Real-time Plagiarism Detection Tool for Computer-based Assessments

Abstract

Aim/PurposeThe aim of this article is to develop a tool to detect plagiarism in real time amongst students being evaluated for learning in a computer-based assessment setting.Background Cheating or copying all or part of source code of a program is a serious concern to academic institutions. Many academic institutions apply a combination of policy driven and plagiarism detection approaches. These mechanisms are either proactive or reactive and focus on identifying, catching, and punishing those found to have cheated or plagiarized. To be more effective against plagiarism, mechanisms that detect cheating or colluding in real-time are desirable.

Plagiarism in Higher Education (PLAGiHE) within Sub-Saharan Africa: A systematic review of a decade (2012–2022) literature

“…In respect of the methodological approaches used in the reviewed studies, it came to light that more than half of the authors discussed issues on plagiarism from existing documents such as policy documents, students' theses, and existing publications on plagiarism. Once the studies including those by Sarfo (2015), Olajire (2016), Orim (2017), Nwosu and Chukwuere (2020), Afedzie and Onyina (2022) and Jeske et al (2018) concentrated heavily on secondary data sources to report issues on plagiarism, they limit the opportunity for respondents to share their real-life experiences about plagiarism. This warrants qualitative studies anchored on the phenomenological design to elicit such discourse in order to have an in-depth information on respondents' personal accounts or narratives about their plagiarism tendencies as well as indulgence.…”

Ciberplagio Académico entre el estudiantado universitario: un acercamiento al estado actual de la temática (2017-2020)

“…A partir de los resultados de un experimento de campo sobre desarrollo web del lado del servidor con php, proponen el uso de la herramienta "CodeInsights", que captura y analiza instantáneas de código en tiempo real cuando los estudiantes compilan su código (Fonseca et al, 2018). También destaca una herramienta para detectar el plagio en tiempo real en un entorno de evaluación basado en computadoras personales, pues identifica accesos no autorizados a Internet, Intranet y puertos usb durante la evaluación (Jeske et al, 2018).…”

Supervision and Control of Students during Online Assessments Applying Computer Vision Techniques: A Systematic Literature Review

“…Twelve articles were selected prior to analysis-Table 6 addressed plagiarism detection techniques 3.2.1. Specific techniques for the control of online tests [26] presented the E-Proctor system that compares data from all test participants and reveals them to the person in charge of supervising the activity in real time. However, there is a drawback in the comparison process; it can only be performed on computers connected to one network.…”