How Does AI Improve the Security of Online Proctoring?
The education sector is undergoing a massive change with the advent of new technologies like Security of Online Proctoring via AI. Educational institutions are now looking to conduct their semester-end as well as entrance examinations online. While many schools have closed due to the outbreak of COVID-19, many universities have substituted exams with a test that students take and copy on the internet. ETS which administers GRE and TOEFL exams, as well as other tests, allows students to take tests at home, where the proctor is monitoring the exams for the entirety of the exam. The practice isn’t practical on a massive scale.
Educational institutions require an option that doesn’t permit them to compromise on the security, expertise as well as convenience of students and teachers. Many exams are delayed or cancelled because of COVID-19 risk for learners, proctoring remotely could allow them to administer exams in the security at home.
Security of Online Proctoring via AI and invigilation techniques, it will be assured that students will not engage in cheating or unjust methods in the exam.
By combining the use of AI and manual methods remote proctoring has many advantages. It allows students to take their test anywhere in the world with certain technical requirements, it eliminates the requirement for physical exam centres.
“AI-proctored exams are an excellent method to ensure that the lockdown does not impede the students’ ambitions and to ensure that it is adhered to in a timely manner,” says Randhir Kumar the creator of Basic First Learning. The company’s founder Shweta Doshi co-founder of the career-focused ed-tech platform GreyAtom, “It’s an exciting moment for educators to question the norm on how we evaluate our students.”
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What can AI enhance the Remote Proctoring Service?
Security of Online Proctoring via AI is a method to authenticate, authorize, and manage the online exam procedure in a manner that is flexible. This is a technique that allows companies to allow assessments at any time and from anywhere and ensures full security standards.
Also, applicants aren’t required to travel to a specific location as they can take their examinations from the comfort of their homes.
In the conventional exam procedure, an invigilator must be present in the exam center to examine candidates who are taking the exam. To check 30-40 candidates there is only one invigilator. To conduct an exam of more than 1000 applicants there would be more than 25 invigilators to supervise the exam procedure.
Proctoring online can be done on the internet using the webcam of the candidate. It is able to record each exam session from beginning to finish and not only via footage but additionally by recording screen displays chat logs, images and chat logs.
Proctoring is classified into different kinds, according to:
Video Proctoring can be useful in examinations with high stakes, where the candidate is monitored by an ongoing video stream. The candidate’s video throughout all of the exam is recorded, and the exam controller determines whether the candidate was engaged in cheating, or other unfair methods by looking at their behaviour through the video.
Image Proctoring is ideal when connectivity to the internet isn’t optimal. The type of proctoring is aimed at confirming remote candidates many times at random. The system could take photos of the candidate at certain times, like, exam start, end or questions that are attempted, and at intervals of 30 or 45 minutes.
Educational institutions can validate these images to verify that the actual candidate completed an online exam and that no malpractice occurred. Image proctoring is less expensive when contrasted to video streaming.
If you wish to conduct an analysis and monitoring process in a way that is automated for candidates who are located far away you can do auto-proctoring. It’s used to manage the continuous streaming activities of candidates at remote locations to take online assessments.
It conducts an analysis of pictures and videos to discover the possibility that a candidate is involved in cheating. This includes using a cellphone during the exam or someone who is assisting the candidate or using reference books or notes.
Verification of Candidate Identity
In this type of proctoring, the identity of the applicant is checked prior to the commencement of the web-based exam. Candidates are required to present a valid identity card and exam hall ticket before the camera.
A proctor at a remote site checks the identity of the candidate and then approves or denies them based on documents submitted.
When compared with the other methods of Security of Online Proctoring via AI, automatic proctoring is among the most effective methods that utilize screen-sharing software and a webcam. When this type of proctoring is used method, a human proctor gets replaced by computer algorithms that are able to detect suspicious behaviour.
With the help of ML, AI-powered remote proctoring systems are able to continually learn, evolve and become more intelligent. The intention behind introducing AI into proctoring isn’t to replace humans, but to improve the precision of proctoring by assisting humans to recognize details such as low levels of sound reflections, whispers, shadows, etc.
How does AI-based Remote Proctoring work?
AI-enabled Remote Proctoring is focused on three specific areas:
- It is possible to detect Identity Fraud
- Find out if cheating is a problem.
- Find Content Theft
The remote proctoring method based on AI has been repeated thousands of times to build an algorithm that trains and refines every event that is defined by the system. An event could be a single event or a sign for identity fraud theft of content and cheating behaviour.
For instance, if a person is observed looking off-screen toward the left it could be considered one data point, and this particular part of the video is separated and labelled as unfair. When the number of data points with the same behaviour is over the limit, ongoing development, training and refining take place.
Every single event that happens through the process is classified as possible fraud, theft or fraud. Each of the events will be analyzed to determine if the session should be tagged as a possible infraction of integrity.
A range of AI technology can be utilized to improve remote proctoring services and also provide a cost-effective method to organize examinations for institutions.
What are the AI technologies that are used in Remote Proctoring?
Every cheating act is contingent on the pattern of certain behaviour. AI detects patterns in the data. When it examines the data it has available it seeks to determine the presence of any patterns in it.
Pattern recognition can be defined as the process of identifying data based upon previously acquired data or statistics gathered from patterns or their representation
Voice Recognition technology is able to detect the sounds and compare it to background noises to eliminate instances of cheating through the recognition of speech patterns.
It is helpful to figure out distinct sounds that should and shouldn’t be heard in a laboratory.
Recognition of facial features
In the process of identity validation to identifying new faces in a test environment, facial recognition could be utilized in a variety of ways. It can identify multiple faces at once and determine if someone is helping the test taker during the online exam.
Eye Movement Detection
Artificial Intelligence-integrated Eye Movement Detection can help identify eye movement patterns and determine if a candidate is looking straight at the screen or looking at any book, object or cell phone. Eye movements that suggest violations are recorded to determine whether the candidate has been involved in any way that is unfair.
Utilizing Plane Detection, the remote proctoring program can determine the spatial structure of the physical environment utilized by the prospective candidate. If it is coupled with object recognition and object recognition, the system can gain more understanding of the entire environment in the space.
It’s like eye detection in that facial key points are employed and test-takers have to sit straight. It is possible to measure the distance between key points is recorded over a period of hundreds of frames. The violation is noted if that distance in between lips of the user is greater by more than a certain amount.
What is the best way to make AI enhance Remote Proctoring Services?
Artificial Intelligence is like a second pair of eyes for human proctors since it can make an alert for everything it notices and spot items that humans would not be able to detect in real-time.
The improvements in accuracy in recognizing unusual behaviour allow remote proctoring software to conduct online exams without compromising added security capabilities that human involvement provides.
If the system detects an unapproved or negative source that a human proctor could overlook, the remote proctoring system can immediately take action against the applicant. It offers an extra level of assurance in exams with high stakes in which the prevention or correction of misconduct is the desired result.
Simulate human behavior
AI will constantly alert humans to abnormal behavior. Once the system is as reliable as humans, you’ll no longer have to rely on humans to monitor each candidate.
The creation of a smarter AI system
An AI model can only function perfectly only when it is exact. The model needs a large number of data points to be accurate. So, you’ll get an improved AI system as you accumulate more information to work with.
Security of Online Proctoring via AI is transforming the educational sector and has enabled everything online. Computer systems that integrate AI can guarantee the validity of the test by preventing candidates from cheating or engaging with unfair methods in the test. By using Remote Proctoring educational institutions aren’t required to delay or postpone exams because of the COVID-19 epidemic.