It automates different aspects of the examination process, including:
1. Examination Generation: AI can generate examination papers based on specific topics or difficulty levels by learning from a pool of questions.
2. Authentication: Candidates are authenticated by deploying AI-based facial or voice recognition tools.
3. Proctoring: AI tracks candidates through webcams and microphones in real-time, watching for anomalies such as unusual movements, more than one person, or noise.
4. Adaptive Testing: The system can adjust the difficulty of questions based on a candidate's performance during the test, thus fairly ascertaining their skills.
Key Features
- AI-Enhanced Question Generation
- Automated Grading and Scoring
- Real-Time Proctoring and Security
- Personalized Exam Paths
- Analytics and Reporting
- Integration with Learning Management Systems
Frequently Asked Questions About Online Exam Software
How is AI used in exams?
Exam questions, grading, and proctoring through automation by AI: Question generation, grading, and proctoring are automatically done through AI. It responds to the difficulty expected during an exam based on student performance. Advanced analytics provide insights into student performance, thus ensuring fairness, accuracy, and security.
What is the role of artificial intelligence in online exams?
Artificial intelligence in online exams improves efficiency and security by automating question creation, grading, and real-time monitoring. AI can identify suspicious behaviour, adjust exam difficulty based on individual performance, and offer detailed analytics, all of which help ensure fairness, accuracy, and personalized learning experiences while upholding the integrity of the exam.
How does AI detect cheating on online exams?
AI detects cheating by using advanced proctoring technologies during online exams. Those include face recognition, behaviour analysis, and anomaly detection. Suspect activities, which may indicate eye movement and multiple persons in the same frame, and screen switching can be reviewed as flagged activities by AI, thereby sustaining the integrity of an examination and prohibiting dishonesty during it.
Which AI algorithm is used for the online examination system?
These AI algorithms in an online examination system include deep learning models for adaptive testing, NLP for producing questions, and computer vision algorithms for proctoring. Deep learning techniques can power facial recognition, behaviour analysis, and anomaly detection to ensure Security, accuracy, and fairness in assessment.
