AI can play a significant role in proctoring in an LMS (Learning Management System) by ensuring the integrity of online exams and assessments. Here are some ways AI can help in proctoring:
- Facial recognition: AI algorithms can analyze live video feeds and compare the student’s face with the photo on their ID card. If the system detects a mismatch, it can alert the proctor, who can intervene and investigate.
- Biometric authentication: AI can use biometric data such as fingerprint or voice recognition to verify the identity of the student before allowing them to access the exam.
- Behavior analysis: AI can analyze the student’s behavior during the exam to detect suspicious activities, such as looking away from the screen or using another device. This can alert the proctor to intervene if necessary.
- Plagiarism detection: AI can compare the student’s work with other sources on the internet to identify instances of plagiarism.
- Advanced monitoring: AI can monitor multiple students simultaneously, making it possible to detect and intervene in cases of collusion or cheating.
By using AI-based proctoring in an LMS, educators can ensure the integrity of online exams and assessments while reducing human proctors’ workload. However, balancing the benefits of AI-based proctoring with student privacy concerns and ethical considerations is essential.
Hurix has incorporated AI-based proctoring in its in-house LMS product. The functionality built currently helps in face recognition and behavior analysis. The quizzes can be configured to be proctored. In a proctored quiz, a student will not be able to start a quiz, until the camera of the device is not switched on. Hurix is working towards implementing a full-fledged AI-based proctored quiz within LMS.