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AI Exams explores the intersection of artificial intelligence and academic integrity, focusing on AI proctoring technologies used in online education. As remote learning becomes more common, AI proctoring offers a way to maintain exam security by using tools like facial recognition and audio analysis to deter cheating. The book emphasizes the critical balance between leveraging AI's capabilities for educational assessment and addressing ethical considerations, such as data privacy and algorithmic bias.
These technologies have become increasingly important as traditional in-person proctoring becomes less feasible. The book provides a comprehensive overview of AI proctoring, first introducing core concepts and then delving into ethical dimensions and practical effectiveness. It highlights the need for transparency and fairness in employing these systems.
Case studies and data are used to demonstrate the impact of AI proctoring on academic dishonesty and to illustrate real-world applications. This approach ensures readers gain a nuanced understanding of the technology's potential and limitations, making it invaluable for educators and administrators navigating the digital age.
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