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Education is gradually shifting toward digital platforms, also called Learning Management Systems (LMS).
These platforms have allowed educational institutes to conduct online exams, assess student assignments, and deliver quizzes.
However, in a virtual world where information is available at our fingertips, how do institutes prevent students from cheating in LMS-based assessments and ensure academic honesty?
Thanks to AI technology, institutes can now ensure that LMS-based tests are taken honestly by students.
The technology is playing an important role in helping institutes detect and prevent cheating in online tests. In this guide, we’ll explore how AI proctoring makes it possible.
Behavior Monitoring Through AI Proctoring
AI proctoring tools are able to monitor students during LMS-based exams.
These tools keep watch on students during online tests, using webcams, audio feeds, and some even screen recording to ensure students are only focusing on the test.
AI tools can analyze participants’ eye behavior, such as if it moves away from the screen, abrupt changes in posture, or background noises like voices.
Using these monitoring systems, AI systems can detect suspicious behavior like an anonymous voice speaking answers out loud and participants trying to look at anonymous material.
However, AI tools don’t necessarily “flag” suspicious events as “cheating.”
They simply flag them for review, which can help detect if cheating took place.
Students taking the test also become more conscious of their actions knowing that they’re being proctored.
Let’s discuss some of the methods used in AI proctoring below:
1. Writing Style & Typing Pattern Analysis
In addition to proctoring, AI tools can analyze how students type and write during tests.
These tools can spot unusual patterns, like if someone usually writes at a certain speed but then suddenly starts writing faster than usual, or if a student writes in a certain tone but their submitted answers mismatch their style.
These patterns, when detected, allow AI to spot impersonation or other unauthorized help to clear tests.
2. Facial Recognition & Identity Verification
You might have seen how AI recognizes faces and identifies the real owner of a smartphone device.
This technology is now being used in LMS to confirm the identity of the original test-taker and prevent impersonation.
These tools can compare live images of the participants with previously stored ones or official ID records for this purpose.
3. Audio Environment Scanning
AI tools can also detect students taking help from anonymous voices to pass the test.
These systems can listen to the environment through the student’s microphone and scan for unusual sounds — whisperings or loud voices — in the room.
The sounds are flagged for review if a suspicious audio activity is detected by the system, helping institutes prevent cheating through anonymous and hidden communication.
4. Screen Recording & Browser Monitoring
AI tools can take screenshots of students’ on-screen activity during the test.
These systems can monitor if the student switches tabs, uses a messaging app, or looks up answers through the browser using optical character recognition (OCR) to ensure students stay on the right tab and don’t access forbidden materials throughout the exam.
Additionally, some LMS can also disable functions essential for cheating like copying-pasting and tab switching.
5. Geolocation & Geofencing
AI tools can track students’ location using GPS services during the tests.
These can track suspicious activity, such as multiple students taking a test in the same room, which can lead to cheating.
Geofencing is another technique that can entirely restrict examination to a specific location, such as a test center, so that students stay within the designated, vetted spaces during the tests, minimizing potential cheating.
6. AI-Powered Browsers
Some LMS tests may require using certain AI-powered browsers that can limit students’ access to only the exam content.
Opening new tabs, accessing external sites, or using shortcuts like copying-pasting to cheat can all be limited through these secure browsers.
Trying to bypass these restrictions can be flagged and the test may even be turned in automatically by the browser.
7. Behavioral Data & Activity Logs
AI tools can log events and activities, including clicks, scrolls, and other mouse movements.
Behavioral data can track if a student’s behaviour is seemingly unusual, such as taking too much time to answer a question and clearing others in a jiffy.
Unusual behavior may flag the test for review, suggesting that some cheating may have occurred, even if other systems, such as the webcam, did not detect unusual activity.
Post‑Submission Integrity Checks
In addition to AI proctoring, educators utilize AI-powered plagiarism detection tools as post-submission integrity checking to verify if students managed to copy-paste existing materials online. Although plagiarism detection is not a part of AI proctoring, it still heavily relies on AI technology.
AI Plagiarism Detection
AI Plagiarism detection tools further help institutes examine if a student cheated during the test.
These tools can analyze submissions and match the text with existing text in their database to determine if some copy/pasting or exact writing occurred.
On the other hand, AI plagiarism remover tools like Plagiarismremover.co can help students avoid unintentional plagiarism, which can occur if they unknowingly end up writing the text such that it matches a source online.
This helps them prevent getting falsely flagged for plagiarism and also meet originality standards.
Conclusion
AI technology has made it possible for educators and institutes to ensure honest exam-taking during LMS-based assessments. Today, online learning management systems can utilize AI technology in various ways, such as webcam monitoring, screen monitoring, audio scanning, geofencing, AI-powered secure browsers, and logging other activities to ensure that participants only focus on taking the test and avoid cheating. If the system detects an instance of cheating, it flags the test for review. Furthermore, educators can use AI-powered plagiarism detection tools to further check a student’s work for cheating.
