An Overview of AI-Driven Cheat Detection in Online Assessments
Online assessments are becoming increasingly popular for educational institutions, employers and other organizations to assess the abilities of individuals.
However, with this increased popularity has come an increase in cheating or attempts at cheating by test-takers. Traditional methods of preventing cheating have relied on proctored exams and other manual methods which can be expensive and time consuming.
But with the emergence of Artificial Intelligence (AI) technologies, organizations now have a powerful new tool to detect and prevent cheating in online assessments.
AI-driven cheat detection functionality offers a new way to detect cheating in assessment software by using AI algorithms to analyze data from assessments and detect patterns that could indicate someone is trying to game the system.
How does it work?
AI-driven cheat detection can be used to analyze behavior during an assessment by comparing it against known patterns of cheating behaviors.
These algorithms look for anomalies in the data – such as if a student takes an assessment multiple times with the same answers – that could flag cheating.
AI-driven cheat detection functionality can also detect patterns of behavior such as a student consistently taking longer than average on certain questions or always answering incorrectly, which may indicate someone is trying to cheat.
Quantifiable benefits from AI
The use of AI-driven cheat detection in assessment software has many advantages over traditional methods.
Faster and more Accurate
AI-driven cheat detection is more accurate than manual proctoring, as it can detect subtle signs of cheating that may be missed by a human proctor.
AI-driven cheat detection systems can detect cheating quickly and efficiently, saving organizations and businesses time and money while ensuring they get the most accurate results from tests taken by students or employees.
By using machine learning algorithms to detect suspicious behavior and alert proctors in real time, AI-driven cheat detection helps ensure that test takers are following the rules.
AI VS. Manual Proctoring
AI systems can detect cheating even in large batches of exams, which makes them much more efficient than manual proctoring methods.
AI-driven cheat detection can also be used to verify the authenticity of test-takers by using biometric authentication. This type of authentication can be used to identify test-takers and help ensure that the person taking the exam is actually the one registered for it.
Biometric authentication can use facial recognition, fingerprint scans, voice analysis or other methods to accurately identify individuals who are attempting to cheat.
Because AI-driven cheat detection systems require minimal setup and maintenance costs, they are often much cheaper than hiring manual proctors.
Revolutionizing the way online assessments are conducted
Overall, AI-driven cheat detection technology has the potential to revolutionize the way online assessments are conducted and make them more secure and reliable.
As organizations seek ways to improve accuracy and reduce costs associated with detecting cheating on assessments, it’s clear that AI-driven cheat detection will continue to become increasingly popular in assessment software.