The Accuracy of AI-Based Automatic Proctoring in Online Exams

Tweissi, Adiy; Etaiwi, Wael; Al-Eisawi, Dalia

doi:10.34190/ejel.20.4.2600

Cited by 10 publications

(7 citation statements)

References 15 publications

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“…Motwani [18] and Prathish [19] used microphones to detect abnormal sounds. Elshafey [20], Jia [21], Tweissi [22], Maniar [23], and Soltane [24] used Deep Speech, Julius, and Long Short-Term Memory (LSTM) to convert sound signals into text and extract keywords for cheating behavior analysis.…”

Section: Single-perspective Cheating Behavior Detection Methodsmentioning

confidence: 99%

Multi-Perspective Adaptive Paperless Examination Cheating Detection System Based on Image Recognition

Hu,

Jing,

et al. 2024

Applied Sciences

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This paper proposes a multi-perspective adaptive examination cheating behavior detection method to meet the demand for automated monitoring throughout the entire process in paperless online exams. Unlike current dual-perspective cheating behavior detection methods, we expand the monitoring field of view by using three cameras with different perspectives: the overhead perspective, the horizontal perspective, and the face perspective. This effectively covers areas where cheating may occur. An adaptive cheating behavior detection system based on three perspectives is proposed, including a gaze direction recognition model based on Swin Transformer, a cheating tool detection model based on Lightweight-YOLOv5-Coordinate Attention, and a cheating behavior determination model based on Multilayer Perceptron. To reduce computational complexity and ensure efficient processing while expanding the monitoring field of view, the system uses the results of the gaze direction recognition model to adaptively select the cheating behavior detection model from different perspectives, reducing the three-perspective system to dual-perspective. In online simulation tests, our method achieves cheating behavior determination at 35 frames per second, with an average recognition rate of 95%. It has good real-time performance, accuracy, and a large monitoring range.

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Section: Single-perspective Cheating Behavior Detection Methodsmentioning

confidence: 99%

Multi-Perspective Adaptive Paperless Examination Cheating Detection System Based on Image Recognition

Hu,

Jing,

et al. 2024

Applied Sciences

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“…Additionally, the current COVID-19 pandemic has left educational institutions with no choice but to adopt virtual learning media to promote safety and comply with social distancing protocols. (Tweissi et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Practicality of Using E-Learning Learning Media in Entrepreneurship Courses

Maulana,

Ganefri,

Yulastri

2024

J. Int. Lingua Tech

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This development research aims to develop a learning media in the form of E-Learning in entrepreneurship courses. This e-Learning is designed to improve student learning outcomes so that students can fully understand the material provided in the entrepreneurship course. This research uses the IDI (Instructional Development Institute) development method, the IDI development procedures are: define, develop, and evaluate. The type of data is primary data where data is provided by media experts, lecturers and students. The data analysis technique used is descriptive data analysis technique, namely by describing the validity and practicality of using E-Learning. The results obtained from this research and development are as follows; (1) The validity of E-Learning is declared very valid in the content and interest aspects with a total validity value of 84.54%, while in the media and language aspects it is declared valid with a total value of 85.55% (2) The practicality of E-Learning is based on lecturer responses after going through validation declared practical with a total score of 81.25%, while the practicality of E-learning based on student responses after going through validation was declared very practical with a total score of 82.75%. Based on the findings of this research, it was concluded that E-Learning is valid and practical to be used as a learning medium in entrepreneurship courses and recommended for other courses.

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“…Students have changed from passive recipients of knowledge to positive knowledge seekers, thereby realizing fundamental educational reforms (Wang, 2022). In addition, the current COVID-19 pandemic leaves educational institutions with no choice but to adopt virtual learning media to promote safety and comply with social distancing protocols (Tweissi et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

E-Learning is Effectively Used for Leadership Courses at Metamedia Universities

Maulana,

Muhammad Giatman,

Hasan Maksum

2024

J. Journal International Inspire Education Technology

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This development research aims to develop learning media (E-Learning) in all courses at Metamedia University. E-Learning is designed to improve student learning outcomes, so students can fully understand the material provided. This study uses the Instructional Development Institute development method. IDI procedures are defining, developing, and evaluating. The type of data is primary data where the data obtained from media experts, lecturers and students. Data were analysed using Descriptive Data Analysis Techniques which describe the validity, practicality, and effectiveness of using E-Learning. The results obtained from this research and development are as follows; (1) The validity of E-Learning is stated to be very valid in terms of content and interest with a total validity value of 84.54%, while the design aspect is stated to be valid with a total value of 85.55% (2) The practicality of E-Learning is based on the lecturer's response after through validation is stated to be quite practical with a total score of 76%, while the practicality of E-learning based on student responses after going through validation is stated to be practical with a total score of 84.12% (3) The effectiveness of E-Learning is effective in improving student learning outcomes as indicated by the number of students who has passed the Minimum Completeness Criteria (87.42%). Based on the findings of this study, it was concluded that E-Learning is valid, practical and effective for use as a learning medium

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The Accuracy of AI-Based Automatic Proctoring in Online Exams

Cited by 10 publications

References 15 publications

Multi-Perspective Adaptive Paperless Examination Cheating Detection System Based on Image Recognition

Multi-Perspective Adaptive Paperless Examination Cheating Detection System Based on Image Recognition

Practicality of Using E-Learning Learning Media in Entrepreneurship Courses

E-Learning is Effectively Used for Leadership Courses at Metamedia Universities

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