Smart Artificial Intelligence Based Online Proctoring System

Malhotra, Neil R.; Suri, Ram; Verma, Puru; Kumar, Rajesh

doi:10.1109/delcon54057.2022.9753313

Cited by 12 publications

(4 citation statements)

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“…The changes in a candidate's psychological state during cheating are revealed through facial expressions. Gopane [25], Ozdamli [26], and Malhotra [27] proposed cheating behavior determination methods based on these.…”

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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“…This approach presents a promising strategy to maintain test integrity without the necessity of physical proctoring. [76]. AI-driven tools and technologies possess the potential to overhaul the educational landscape, spanning from tailored learning experiences to automated grading and assessment.…”

Section: A Ai-powered Virtual Proctoringmentioning

confidence: 99%

A Digital Recommendation System for Personalized Learning to Enhance Online Education: A Review

G. M.,

Goudar,

Kulkarni

et al. 2024

IEEE Access

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This review delves into using e-learning technology and personalized recommendation systems in education. It examines 60 articles from prominent databases and identifies the different methods used in recommendation systems, such as collaborative and content-based approaches with a recent shift towards machine learning. However, the current personalized recommendation system faces challenges such as a lack of understanding of the content, student discontinuity, language barriers, confusion in selecting study materials, inadequate infrastructure and funding. The review proposes using new digital technologies to address these issues, including Fluxy AI, Twin technology, AI-powered virtual proctoring, and Alter Ego. These technologies can create a dynamic and interactive learning environment, providing tailored learning experiences for students and insights for educators to provide targeted support and guidance. The integration of these technologies can improve individualized learning, increase understanding capacity and enhance the learning experience for students with speech disorders.

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“…Kadam et al [11] reviewed the literature on explainability in multimodal deep neural networks and discussed various approaches for improving the interpretability of deep neural networks. Kaddoura et al [13] proposed a method for detecting and localizing multiple image splicing using MobileNet [19,20,22,28].…”

Section: Related Workmentioning

confidence: 99%

Deep Learning-Based Education Decision Support System for Student E-learning Performance Prediction

Jakkaladiki,

Janečková,

Krunčík

et al. 2023

SCPE

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Information Technology (IT) and its advancements change the education environment. Conventional classroom education has been transformed into a modernized form. Education field decision-makers are always searching for new technologies that provide fast solutions to support Education Decision Support Systems (EDSS). There is a significant need for an effective decision support system to utilize student data which helps the university in making the right decisions. The Electronic learning system (e-learning) provides a live forum for faculties and students to connect with learning portals and virtually execute educational activities. Even though these modern approaches support the education system, active student participation still needs to be improved. Moreover, accurately measuring student performance using collected attributes remains difficult for parents and teachers. Therefore, this paper seeks to understand and predict student performance using effective data processing and a deep learning-based decision model. The implementation of EDSS starts with data preprocessing, Extraction-Transformation-Load (ETL), a data mart area to store the extracted data with Online Analytical Processing (OLAP) processing, and decision-making using Deep Graph Convolutional Neural Network (DGCNN). The statistical evaluation is based on the student dataset from the Kaggle repository. The analyzed results depict that the proposed EDSS model on an independent data mart with efficient decision support and OLAP provides a better platform to make academic decisions and help educators to make necessary decisions notified to the students.

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Smart Artificial Intelligence Based Online Proctoring System

Cited by 12 publications

References 0 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

A Digital Recommendation System for Personalized Learning to Enhance Online Education: A Review

Deep Learning-Based Education Decision Support System for Student E-learning Performance Prediction

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