AI-Enabled Proctoring

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What is AI-Enabled Proctoring?

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AI-enabled proctoring refers to using artificial intelligence technologies to monitor and supervise online tests or assessments remotely.

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It involves employing software tools that use computer vision, facial recognition, pattern recognition, speech recognition, eye-movement detection, plane detection, and other machine-learning algorithms to track and analyze test-takers' behavior.

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For example, when employees take an online assessment, the AI proctor can detect if they are cheating by tracking browser activity, if someone else is in the room, etc.

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In addition, it can flag suspicious behavior such as cheating attempts, unauthorized access to test materials, or attempts to copy or share test content. This technology can also help verify test-takers' identity and ensure they are the same person who registered for the test.

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To summarize it simply:

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• It is an AI tool used for online tests or assessments. It could be used at workplaces or educational institutions.
• It ensures fairness and academic integrity in all kinds of assessments and test-taking.
• It uses multiple tools like facial recognition, machine-learning algorithms, etc.

AI-enabled proctoring is also called "remote proctoring," "smart proctoring," or "online proctoring."

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Types of AI-Enabled Proctoring

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Different types of AI proctoring are being widely used. Some of them are:

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1. Live Proctoring: AI assists a human proctor by flagging cheating behaviors in live proctoring. The human monitors the test-takers through a camera.

2. Recorded Proctoring: This allows the test-takers to take the test at their convenience and records their behavior. The AI detects any unfair practices and flags them to the reviewers.

3. Automated Proctoring: AI is used to monitor the behavior of the test-takers in real-time and can instantly flag behaviors such as copying, cheating, accessing resources that are not authorized, etc.

4. Hybrid Proctoring: This can be a combination of different types of proctoring. For example, the test-takers can be live-proctored but may also be recorded for future review.

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Further, each kind of the above-listed proctoring can be either one of, a combination of a few, or all of the following:

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• Video proctoring
• Image proctoring
• Audio proctoring

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The Benefits of AI-Enabled Proctoring

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AI-enabled proctoring comes with a host of benefits.

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• It can improve accuracy by decreasing the consequences of human error. It is like a second, more efficient set of eyes and ears. In addition, AI gathers multiple data points through various software, making it almost foolproof.
• It can reduce test-takers' anxiety and also take the pressure off of test administrators.
• It is cost-effective and decreases overall costs, eliminating the need to hire many people for proctoring tasks.
• It can help with scalability as the same algorithm can be applied simultaneously for multiple assessments.
• It increases convenience and accessibility by decreasing location dependability.
• It has higher security than traditional proctoring as it eliminates impersonation and can assist with identity verification.
• It is easy to install and can be implemented immediately.  

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Terms Related to AI-Enabled Proctoring

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• Behavioral Biometrics: An essential part of AI-enabled proctoring, it is the analysis of behavior patterns, such as typing speed, facial movements, mouse movements, keystroke dynamics, etc.
• Proctoring Rules Engine: A proctoring rules engine is a set of guidelines and rules for AI-powered software that defines what to look out for during a test and how to respond if it detects any suspicious behavior. These rules help ensure the software is consistent and fair in its approach to monitoring assessments.
• Machine Learning: Machine learning enables AI-powered software to identify suspicious behavior during tests over time better. It works by analyzing past data and user feedback to improve its accuracy and ability to catch cheating attempts.