Enhancing Academic Integrity in E-Exams Through AI-Driven Proctoring Technologies

Abstract

The rapid adoption of e-exams in education has revolutionized the assessment landscape, offering flexibility and accessibility to learners worldwide. However, this shift has also raised significant concerns about academic integrity. This study explores the role of artificial intelligence (AI)-driven proctoring technologies in mitigating cheating and fostering fairness in online examinations. Key features of AI-driven proctoring, including facial recognition, gaze tracking, keystroke analysis, and behavioral pattern detection, are analyzed for their effectiveness in ensuring a secure testing environment. The research highlights the challenges associated with these technologies, such as privacy concerns, potential biases, and technical limitations, while proposing solutions to address them. Through a mixed-methods approach combining case studies and surveys, the study evaluates the impact of AI-driven proctoring on student performance, engagement, and trust in e-exam systems. The findings suggest that integrating ethical AI practices and transparent communication can enhance academic integrity while maintaining learner confidence. This research contributes to the ongoing discourse on leveraging technology to uphold educational standards in an increasingly digital world.

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