AI exams refer to assessments conducted using artificial intelligence technologies within online educational settings. These exams utilize AI for automated proctoring, adaptive testing, and grading.
Key Features
Automated Proctoring: AI monitors students remotely to ensure exam integrity, using facial recognition and behaviour analysis.
Adaptive Testing: AI adjusts exam difficulty based on real-time student performance, enhancing learning outcomes.
Automated Grading: AI efficiently evaluates objective responses, reducing grading time for educators.
Advantages
Efficiency: AI streamlines exam administration, minimizing manual tasks.
Integrity: Enhances security by monitoring and preventing cheating.
Personalization: Tailors exam difficulty to individual student abilities.
Challenges
Privacy Concerns: Raises issues about data privacy and surveillance during exams.
Bias in Algorithms: Highlights potential biases in AI grading and monitoring.
Technical Issues: Addresses connectivity and AI reliability impacting exam processes.
Embrace AI, Reinvent exams, and redefine your exam experience
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