Proctoring and Non-proctoring Systems

Baso, Yusring Sanusi

doi:10.14569/ijacsa.2022.0130610

Cited by 3 publications

(2 citation statements)

References 15 publications

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Section: Resultsmentioning

confidence: 90%

“…Goedl and Malla (2020) found unequal grade distributions in proctored and un-proctored exams and advised caution in using them to maintain grade equivalency. Baso (2022) reported lower scores in the proctored online system and found no influence of class or gender on performance. Lee (2020) and Andreou et al (2021) found no difference in students' performance in online and offline proctored exams and asserted that the exam proctoring environment is unlikely to be related to student performance.…”

Section: Category 2: Stakeholders' Concerns Of Using Digital Proctoringmentioning

confidence: 90%

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Digital proctoring in higher education: a systematic literature review

Han

Nikou

Ayele

2023

IJEM

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PurposeTo improve the academic integrity of online examinations, digital proctoring systems have recently been implemented in higher education institutions (HEIs). The paper aims to understand how digital proctoring has been practised in higher education (HE) and proposes future research directions for studying digital proctoring in HE.Design/methodology/approachA systematic literature review was conducted. The PRISMA procedure was adapted for the literature search. The topics were identified by topic modelling techniques from 154 relevant publications in seven databases.FindingsSeven widely discussed topics in literature were identified, including solutions for detecting cheating and student authentication, challenges/issues of uptakes and students' performance in different proctoring environments.Research limitations/implicationsThis paper provides insights for academics, policymakers, practitioners and students to understand the implementation of digital proctoring in academia, its adoption by HEIs, impacts on students' and educators' performance and the rapid increase in its use for digital exams in HEIs, with particular emphasis on the impacts of the systems on digitalising examinations in HE.Originality/valueThis review paper has systematically and critically described the state-of-the-art literature on digital proctoring in HE and provides useful insights and implications for future research on digital proctoring, and how academic integrity in online examinations can be enhanced, along with digitalising HE.

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Section: Resultsmentioning

confidence: 90%

Section: Category 2: Stakeholders' Concerns Of Using Digital Proctoringmentioning

confidence: 90%

Digital proctoring in higher education: a systematic literature review

Han

Nikou

Ayele

2023

IJEM

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A Multifaceted Approach to Real Time Online Proctoring with Gaze Tracking, Facial Aspect Ratio Analysis and Object Detection

Prof. V. Vijaypriya,

Mr. P. M Dhanesh,

Mr. V. Giridhar

et al. 2024

IJRSCAMT

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The proliferation of online education and examinations has necessitated the development of secure and reliable online proctoring systems to maintain academic integrity. In this research, we propose a comprehensive real-time online proctoring system that leverages gaze movement analysis, facial aspect ratio assessment, and mouth opening status detection to identify potential cheating behaviors during remote exams. Additionally, the system incorporates object detection using the You Only Look Once (YOLO) algorithm to identify prohibited items like phones and books within the examination environment. The gaze movement analysis module employs computer vision techniques, including eye tracking algorithms, implemented using Scipy, to monitor students' eye movements during the examination. By analyzing gaze patterns, the system can detect instances of prolonged off-screen viewing, flagging potential attempts to access unauthorized materials. The facial aspect ratio analysis component utilizes facial landmarks to calculate the aspect ratio of key facial features. This approach aids in detecting abnormal head movements or deviations from typical facial expressions, which may indicate dishonest behavior. Furthermore, the proctoring system incorporates mouth opening status detection, using a deep learning algorithms, to identify instances of verbal communication or whispering during the exam. In addition to gaze and facial analysis, our system integrates the YOLO object detection algorithm to identify phones and books in the examination environment. By employing a pre-trained YOLO model, the system can efficiently detect and flag any unauthorized items within the students' vicinity. This multi-faceted system contributes to enhancing the integrity and security of remote examinations in the digital education era

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Utiliser ou non les logiciels de télésurveillance dans un contexte d’évaluation en formation à distance?

Sirois

2023

Med. Med.

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Dans un contexte de formation à distance, l’évaluation en ligne représente un réel défi, alors que tant d’informations sont accessibles en quelques clics et au bout des doigts des apprenants. Dès lors, les logiciels de télésurveillance d’examen sont devenus des outils incontournables. Cet intérêt pour l’utilisation de cette technologie doit s’accompagner d’une réflexion quant aux possibles effets que peut avoir la télésurveillance sur les étudiants. Ces effets peuvent être désirés, découlant de la nature même des logiciels de télésurveillance en permettant d’assurer l’intégrité intellectuelle des évaluations à distance, mais il existe aussi un effet indésirable lié à l’anxiété augmentée par le recours à la télésurveillance, notamment en raison du caractère intrusif de ces outils, du facteur technologique et des conditions à respecter qu’ils supposent. Cet effet indésirable pouvant être atténué et contrôlé, la télésurveillance représente un outil précieux dans le nécessaire combat contre la fraude scolaire. Les logiciels de télésurveillance demeurent des outils importants pour que l’évaluation en ligne soit réalisée de manière sécuritaire et efficace, pourvu que tous les moyens soient mis en place pour accompagner les étudiants dans ce mode de surveillance.

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Proctoring and Non-proctoring Systems

Cited by 3 publications

References 15 publications

Digital proctoring in higher education: a systematic literature review

Digital proctoring in higher education: a systematic literature review

A Multifaceted Approach to Real Time Online Proctoring with Gaze Tracking, Facial Aspect Ratio Analysis and Object Detection

Utiliser ou non les logiciels de télésurveillance dans un contexte d’évaluation en formation à distance?

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